[ECOLOG-L] Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR

[Oliver Hooker]

Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM05)

https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm05/

This course will be delivered by Dr Andrew Parnell and Dr Andrew Jackson 
(authors of the SIMM packages) in Glasgow City Centre from the 10th June - 14th 
June 2019.

Course overview: 
This course will cover the concepts, technical background and use of stable 
isotope mixing models (SIMMs) with a particular focus on running them in R. 
This course will cover the concepts, technical background and use of stable 
isotope mixing models (SIMMs) with a particular focus on running them in R. 
Recently SIMMs have become a very popular tool for quantifying food webs and 
thus the diet of predators and prey in an ecosystem. Starting with only basic 
understanding of statistical models, we will cover the do’s and don’ts of using 
SIMMs with a particular focus on the widely used package SIAR and the more 
advanced MixSIAR. Participants will be taught some of the advanced features of 
these packages, which will enable them to produce a richer class of output, and 
are encouraged to bring their own data sets and problems to study during the 
round-table discussions.

Monday 10th – Classes from 09:30 to 17:30
Basic concepts.
Module 1: Introduction; why use a SIMM?
Module 2: An introduction to bayesian statistics.
Module 3: Differences between regression models and SIMMs.
Practical: Revision on using R to load data, create plots and fit statistical 
models.
Round table discussion: Understanding the output from a Bayesian model.

Tuesday 11th – Classes from 09:30 to 17:30
Understanding and using SIAR.
Module 4: Do’s and Don’ts of using SIAR.
Module 5: The statistical model behind SIAR.
Practical: Using SIAR for real-world data sets; reporting output; creating 
richer summaries and plots.
Round table discussion: Issues when using simple SIMMs.

Wednesday 12th – Classes from 09:30 to 17:30
SIBER and MixSIAR.
Module 6: Creating and understanding Stable Isotope Bayesian Ellipses (SIBER).
Module 7: What are the differences between SIAR and MixSIAR?
Practical: Using MixSIAR on real world data sets; benefits over SIAR.
Round table discussion: When to use which type of SIMM.

Thursday 13th – Classes from 09:30 to 17:30
Advanced SIMMs.
Module 8: Using MixSIAR for complex data sets: time series and mixed effects 
models.
Module 9: Source grouping: when and how?
Module 10: Building your own SIMM with JAGS.
Practical: Running advanced SIMMs with JAGS.
Round table discussion: Bring your own data set.

Friday 14th – Classes from 09:30 to 16:00
Bring your own data set.

Email oliverhoo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 

1.  January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

2.  January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

3.  January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

4.  February 4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

5.  25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

6.  March 4th – 8th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach 
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

7.  March 11th – 15th  2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/

8.  March 18th – 22nd 2019
INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01)
Crete, GREECE, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe01/

9.  March 25th – 29th 2019
LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/

[ECOLOG-L] Ecological niche modelling using R

[Oliver Hooker]

Ecological niche modelling using R (ENMR03)

https://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/

This course will be delivered by Neftali Sillero in Glasgow City Centre from 
the 11th March - 15th March 2019.

Course Overview:
The course will cover the base theory of ecological niche modelling and its 
main methodologies. By the end of this 5-day practical course, attendees will 
have the capacity to perform ecological niche models and understand their 
results, as well as to choose and apply the correct methodology depending on 
the aim of their type of study and data.

Ecological niche, species distribution, habitat distribution, or climatic 
envelope models are different names for similar mechanistic or correlative 
models, empirical or mathematical approaches to the ecological niche of a 
species, where different types of ecogeographical variables (environmental, 
topographical, human) are related with a species physiological data or 
geographical locations, in order to identify the factors limiting and defining 
the species’ niche. ENMs have become popular due to the need for efficiency in 
the design and implementation of conservation management.

The course will be mainly practical, with some theoretical lectures. All 
modelling processes and ions will be performed with R, the free software 
environment for statistical computing and graphics (http://www.r-project.org/). 
Attendees will learn to use modelling algorithms like Maxent, Bioclim, Domain, 
and logistic regressions, and R packages for computing ENMs like Dismo and 
Biomod2. Also, students will learn to compare different ecological niche models 
using the Ecospat package.

Course Programme
Monday 11th – Classes from 09:30 to 17:30
Elementary concepts on Ecological Niche Modelling
Module 1: Introduction to ENM theory. Definition of ecological niche model; 
introduction to species ecological niche theory, types of ecological niches, 
types of ENM, diagram BAM, ENMs as approximations to species’ niches.
Module 2: Problems and limitations on ENM. Assumptions and uncertainties, 
equilibrium concept, niche conservatism, autocorrelation and intensity, sample 
size, correlation of environmental variables, size and form of study area, 
thresholds, model validation, model projections.
Module 3: Methods on ENM. Mechanistic and correlative models. Overlap Analysis, 
Biomod, Domain, Habitat, Distance of Mahalanobis, ENFA, GARP, Maxent, Logistic 
regression, Generalised Linear Models, Generalised Additive Models, Generalised 
Boosted Regression Models, Random Forest, Support Vector Machines, Artificial 
Neural Network.
Module 4: Conceptual and practice steps to calculate ENM. How to make an ENM 
step-by-step.
Module 5: Applications of ENM. Ecological niche identification, Identification 
of contact zones, Integration with genetical data, Species expansions, Species 
invasions, Dispersion hypotheses, Species conservation status, Prediction of 
future conservation problems, Projection to future and past climate change 
scenarios, Modelling past species, Modelling species richness, Road-kills, 
Diseases, Windmills, Location of protected areas.

Tuesday 12th – Classes from 09:30 to 17:30
Prepare environmental variables and run ecological niche models with dismo 
package.
Module 6: Preparing variables. Choosing environmental data sources, Downloading 
variables, Clipping variables, Aggregating variables, Checking pixel size, 
Checking raster limits, Checking NoData, Correlating variables.
Module 7: Dismo practice. How to run an ENM using the R package dismo.

Wednesday 13th – Classes from 09:30 to 17:30
Run ecological niche models with Biomod2 package and Maxent.
Module 8: Biomod2 practice. How to run an ENM using the R package Biomod2.
Module 9: Maxent practice. How to run an ENM using the R packages dismo and 
Biomod2 as well as Maxent software.

Thursday 14th – Classes from 09:30 to 17:30
Compare ecological niche models with ecospat.
Module 10: Ecospat practice. Compare statistically two different ecological 
niche models using the R package Ecospat.
Module 11: Students’ talks. Attendees will have the opportunity to present 
their own data and analyse which is the best way to successfully obtain an ENM.

Friday 15th – Classes from 09:30 to 16:00
Run ecological niche models with your own data.
Module 12: Final practical. In this practical, the students will run ENM with 
their own data or with a new dataset, applying all the methods showed during 
the previous days.

Email oliverhoo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 

1.  January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt

[ECOLOG-L] FINAL CALL - Aquatic Acoustic Telemetry Data Analysis

[Oliver Hooker]

Aquatic Acoustic Telemetry Data Analysis (ATDA01)

https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

This course will be delivered by VEMCO (a leading company in the field of 
aquatic acoustic telemetry) in Glasgow City Centre form the  28th January - 1 
February 2019.

Course Overview:
Acoustic telemetry has become increasingly popular as a method of choice for 
monitoring the movements and behaviour of aquatic animals globally.  
Increasingly smaller tags along with improvements in battery technology have 
allowed for tagging a wide variety of species and life stages, enabling 
monitoring of individuals as small as salmon smolts and as large as whale 
sharks for periods from 30 days to 10 years.  Receiver technology also 
continues to evolve and increasingly allows for data to be collected at finer 
spatial and temporal scales than ever before.  In addition, with more and more 
acoustic diagnostics information available telemetry datasets are becoming 
richer, allowing more detailed analyses of system performance over time and 
more robust interpretation of animal detection data.

In this course you will learn about the different types of Vemco acoustic 
telemetry technology and their applicability for use in different study 
environments and in answering a variety of research questions.  Advantages and 
limitations of the different types of equipment will be discussed, along with 
resulting study design considerations such as hardware selection and tag 
programming considerations.

The planning and testing phases of any acoustic telemetry study are critical to 
success, and you will learn about the importance of testing the suitability of 
your environment for acoustic telemetry, testing your array once it is 
deployed, and monitoring your system performance throughout the duration of 
your study.  We will analyze an example range test dataset and discuss the 
implications of range test results on array design.  You will also learn how to 
test your study deployment in the field and what metrics are best used to 
determine whether the array is operating as planned.  Finally, because 
interpretation of acoustic telemetry data and inferring animal behaviour from 
these data is often confounded by array performance questions, this course will 
teach you techniques for assessing system performance to aid in the correct 
interpretation of animal detection data.

Since telemetry datasets are growing larger all of the time, data management is 
becoming increasingly challenging.  During this course you will learn to 
perform basic quality assurance on your data (removal of false detections, time 
correction of detection data) and basic filtering techniques (identifying 
residency events, removing duplicate detections) for large datasets.

Finally, this course will include extensive discussion of the proper design and 
logistics of fine-scale positioning studies and will provide an overview of the 
different types of analyses that are commonly performed with positional data.  
You will also have the opportunity to discuss your own telemetry studies with 
the experts during a Q session on the final day of the course.  Bring your 
own data and your questions!

Course Programme
Monday 28th – Classes from 09:30 to 17:30
Lecture 1
1) Introduction to Acoustic Telemetry
Acoustic vs radio, satellite, PIT tags
History of acoustic telemetry
Comparison of acoustic technologies from different manufacturers
2) How Vemco acoustics work
Continuous vs coded vs HR (High Residence) transmission systems
Pinger tags vs sensor tags
3) Vemco Equipment Overview
Applications of 69 kHz line
Applications of 180 kHz line
Applications of HR (High Residence) technology
4) Designing a Successful Study
Hardware Selection
Tag Programming Considerations
Range Testing
Using Sentinel Tags
5) Vemco Equipment Demo
PPM vs HR coding systems
Surgery techniques

Tuesday 29th – Classes from 09:30 to 17:30
Lecture 2
1) Preparing for Deployment
Preparing your receivers
Initialization tips
Setting up built-in transmitters
2) System performance considerations
Quiet vs noisy locations
Thermoclines
River flow considerations
Mooring design and receiver attachment
3) Testing your deployment
Using transponding data (includes transponding demonstration)
Using offloaded test data/VUE (includes demonstration)
Important considerations during testing
Practical 1
4) Case Study 1 – River migration study (traditional PPM coding example)
Study Design
Range test analysis example
Determining receiver spacing
Tag Programming

Wednesday 30th – Classes from 09:30 to 17:30
1) Practical 2
Data Management (using Case Study 1 data or other example datasets
Assigning stations in VUE
Time Correction
Identifying false detections
Using VUE’s FDA tool
Marking questionable detections in your exported data
2) Filtering your data
Building filters in VUE
Identifying residency events
What to do with duplicate detections
Sensor Tag Data
Bringing in 

[ECOLOG-L] Introduction to GIS and spatial analysis with R (GISR01)

[Oliver Hooker]

Introduction to GIS and spatial analysis with R (GISR01)

https://www.prstatistics.com/course/introduction-to-gis-and-spatial-analysis-with-r-gisr01/

This course will be delivered by Luca Nelli form the 22nd - 26th April 2019 in 
Glasgow City Centre.

Course overview: 
This course aims at providing audience with the essential tools for working 
with spatially explicit data within the statistical environment R, with 
particular reference to ecological applications (e.g. species distribution 
models, resources and habitat selection, home range analyses…). Practical 
sessions will primarily use the free statistical software, R – prior experience 
(even if some practice before you come) will be useful. Example data will be 
provided but participants may also bring their own data.

Intended Audience:
This workshop is aimed at students and researchers who already have a basic 
knowledge of R and want to explore its GIS potential for ecological 
application. The skills learnt can also be applied by management and 
environmental professionals in government and industry.

Course Programme:
Monday 22nd – Classes from 09:30 to 17:30
Introduction to GIS: overview of main softwares.
File formats.
Coordinate reference systems.
Types and structure of spatial objects in R
Generating and manipulating spatial objects, projections and transformations.
Overview of main libraries for spatial objects: sp, sf, rgeos, rgdal, leaflet, 
mapview, raster.

Tuesday 23rd – Classes from 09:00 to 17:00
Introduction to raster data.
Plot and visualisation of raster.
Informative and non-informative rasters.
Terrain tools.
RasterStack.
Operations with raster.

Wednesday 24th – Classes from 09:30 to 17:30
Vector data: from simple points to SpatialPointsDataFrame (and 
SpatialLinesDataFrame and SpatialPolygonsDataFrame).
How to import and manipulate vector data.
Plot and visualisation of vectors.
Geoprocessing tools.
Overlay, clip, intersection, union, difference.
Proximity analyses.
Conversion tools (vector to raster and viceversa).

Thursday 25th – Classes from 09:30 to 17:30
More advanced GIS analyses in R: How to interact vector and raster.
Cropping and masking spatial objects.
Zonal statistics and landscape metrics.
Extracting covariate data and other simple GIS operations in R.

Friday 26th – Classes from 09:30 to 16:00
Combining QGIS and R.
Plotting interactive maps with leaflet and mapview.Email 
oliverhoo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 

1.  January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

2.  January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

3.  January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

4.  February 4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

5.  February 11th – 15th 2019
REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/

6.  25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

7.  March 4th – 8th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach 
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

8.  March 11th – 15th  2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/

9.  March 18th – 22nd 2019
INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01)
Crete, GREECE, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe01/

10. March 25th – 29th 2019
LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer

[ECOLOG-L] Introduction to QGIS for ecologists (QGSE01)

[Oliver Hooker]

Introduction to QGIS for ecologists (QGSE01)

https://www.prstatistics.com/course/introduction-to-qgis-for-ecologists-qgse01/

This course will be delivered by Luca Nelli form the 15th - 19th April 2019 in 
Glasgow City Centre.

Course overview: 
This course aims at providing audience with the basic tools for ecological data 
management and analyses, through the Geographical Information System software 
QGIS, with the particular objective of creating spatially explicit datasets for 
ecological analyses (e.g. species distribution models, resources and habitat 
selection, home range analyses…).
Practical sessions will use the free software QGIS – prior experience is not 
necessary. Example data will be provided but participants may also bring their 
own data.

Intended Audience:
Students and early career researchers without any prior knowledge of GIS 
software, who are interested in using such tools for ecological application. 
The skills learnt can also be applied by management and environmental 
professionals in government and industry.

Course Programme:
Monday 15th – Classes from 09:30 to 17:30
Introduction to QGIS: basic tools, main plugin, file formats, layer management.
Coordinate reference systems.
Types and structure of spatial objects in QGIS.
Generating and manipulating spatial objects, projections and transformations.

Tuesday 16th – Classes from 09:00 to 17:00
Raster data: plot and visualisation of raster.
Informative and non-informative raster.
Terrain tools.
Operations with raster.

Wednesday 17th – Classes from 09:30 to 17:30
Vector data: points, lines, polygons.
How to import and manipulate vector data.
Plot and visualisation of vectors.
Geoprocessing tools: Overlay, clip, intersection, union, difference. 

Thursday 18th – Classes from 09:30 to 17:30
Selection tools: by feature and by location.
Basic spatial analyses: cropping and masking spatial objects.
Zonal statistics and landscape metrics.
Extracting covariate data and other simple GIS operations.

Friday 19th – Classes from 09:30 to 16:00
GPS and mobile GIS.
Online resources.
Map composer: creating maps for publications, poster, and reports.

Email oliverhoo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 

1.  January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

2.  January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

3.  January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

4.  February 4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

5.  February 11th – 15th 2019
REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/

6.  25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

7.  March 4th – 8th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach 
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

8.  March 11th – 15th  2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/

9.  March 18th – 22nd 2019
INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01)
Crete, GREECE, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe01/

10. March 25th – 29th 2019
LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/

11. April 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   

[ECOLOG-L] Machine learning using R (MLUR01)

[Oliver Hooker]

Machine learning using R (MLUR01)

https://www.prstatistics.com/course/machine-learning-using-r-mlur01/

This course will be delivered by Dr Aristides (Aris) Moustakas from the  8th - 
12th April 2019 in Glasgow City Centre.

Course Overview:
his workshop will provide attendees with the opportunity to learn how to use 
machine learning to analyze data coming from diverse data domains and 
scientific disciplines and without necessarily prior knowledge of the 
scientific discipline where the data are coming from. Attendees will learn how 
to use R and several R packages including classification and regression trees, 
ensembles and bagging, random forests, neural networks, and boosting (learning 
from mistakes). These techniques will be used for data classification, 
determining goodness-of-fit, predictive modelling (using explanatory variables 
to predict a variable of interest), and ultimately quantify results, errors, 
and uncertainty. Attendees will also learn how to produce high quality graphs 
and figures using R.

Intended Audience:
This workshop is ideal for any scientists seeking an introduction to 
quantitative data analysis using machine learning coming from diverse 
scientific disciplines such as biology, ecology, medicine, psychology, 
economics, or education. No prior knowledge of machine learning ir required. 
However basic prior R knowledge is required (loading data, loading R packages, 
basic R environment and basic R commands).

Course Programme:
Monday 8th – Classes from 09:30 to 17:30
Day 1
Theory
Revision: linear regression analysis, classification and regression trees, 
assumptions, and limitations
Introduction to artificial intelligence
Introduction to machine learning, assumptions, advantages, over-fitting
Practical
Data analysis with Generalized linear models
Data analysis with classification and regression trees
Analysis of own data

Tuesday 9th – Classes from 09:30 to 17:30
Day 2
Theory
Ensembles and bagging
Random forests
Learning from mistakes
Practical
Analysis of data with Random Forests:
Supervised learning, training assessing predictive accuracy
Applications with data from social sciences, economics, and biology

Wednesday 10th – Classes from 09:30 to 17:30
Day 3
Theory
Artificial Neural Networks
Support Vector Machines
Practical
Classification and regression with ANN and SVM
ROC Curves
Variable importance

Thursday 11th – Classes from 09:30 to 17:30
Day 4
Theory
Special topics:
Spatial data, spatial analysis, spatial autocorrelation
Spatial analysis with machine learning
Dealing with factors and binary data
Factor analysis with machine learning
Practical
Spatial analysis with machine learning
Factor analysis with machine learning

Friday 12th – Classes from 09:30 to 16:00
Day 5
Theory
Special topics:
Time replicated data, time series, and temporal autocorrelation
Temporal analysis with machine learning
Comparing statistical methods (etc GLM, GAM) with machine learning methods
Parameter tuning
Practical
Temporal analysis with machine learning
Parameter tuning
Comparing methods
Discussions with the tutor and the group regarding own datasets 

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 

1.  January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

2.  January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

3.  January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

4.  February 4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

5.  February 11th – 15th 2019
REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/

6.  25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

7.  March 4th – 8th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach 

[ECOLOG-L] Individual based models using R (and netlogo) (IBMS01)

[Oliver Hooker]

Individual based models using R (and netlogo) (IBMS01)

https://www.prstatistics.com/course/individual-based-models-using-r-and-netlogo-ibms01/

This course will be delivered by Dr Aristides (Aris) Moustakas from the  1st - 
5th April 2019 in Glasgow City Centre.

Course Overview:
This workshop will provide attendees with the opportunity to learn how (1) to 
understand; (2) run simulations of readily available Individual Based Models 
(IBMs); (3) analyze the outputs of IBMs; (4) parameterize IBMs, and (5) code 
relatively basic IBMs in R and NetLogo.

Examples and applications will include cases from diverse domains and 
scientific disciplines such as social sciences, biology, and environmental 
sciences.

Intended Audience:
This workshop is ideal for any scientists seeking an introduction as well as 
functional use in terms of parameterizing, simulating, and analyzing outputs of 
IBMs; some moderate skills of programming and own coding will also be acquired.

This course will suite attendees from a diverse range of scientific disciplines 
such as biology, ecology, psychology, economics, or education. No prior 
knowledge of programming in R or Netlogo are required. However basic to 
moderate prior R knowledge is required (loading data, loading R packages, basic 
R environment and basic R commands).

Course Programme:
Monday `1st – Classes from 09:30 to 17:30
Theory
Differences between statistical modelling and process-based predictive models
Introduction to cellular automata
Introduction to Individual & Agent Based Models
Practical
Running simulations with readily coded IBMs in Netlogo
Application of cellular automata: coding the game of life in R

Tuesday 2nd – Classes from 09:30 to 17:30
Theory
Introduction to scientific programming
Introduction to Netlogo
Practical
Go through a coded IBM in NetLogo and understand the code
Code IBMs in R (full code provided and explained)
Run simulations of the IBM 

Wednesday 3rd – Classes from 09:30 to 17:30
Theory
Complex vs. simple models
How many processes & details to include
Combining IBMs with statistical analysis
Practical
Running simple vs more complex coded IBMs
Exporting outputs from IBMs
Statistical analysis of IBM outputs

Thursday 4th – Classes from 09:00 to 17:00
Theory
Calibrating IBMs
Validating IBMs
Sensitivity of input parameters 
Practical
Coding IBMs in R
Analyzing IBM outputs of varying parameter inputs

Friday 5th – Classes from 09:30 to 16:00
Theory
Special topics:
Examples of IBMs across disciplines
IBMs providing new insights & ground-breaking results
Practical
Understanding the description, replicating and coding a journal-published IBM
Discussions with the tutor and the group of own IBMs and coding 

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.  January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

2.  January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

3.  January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

4.  February 4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

5.  February 11th – 15th 2019
REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/

6.  25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

7.  March 4th – 8th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach 
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

8.  March 11th – 15th  2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/

9.  March 18th – 22nd 2019
INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01)
Crete, GREECE, Dr 

[ECOLOG-L] Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM05)

[Oliver Hooker]

Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM05)

https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm05/

This course will be delivered by Dr Andrew Parnell and Dr. Andrew Jackson and 
will run from the 10th - 14th June 2019 in Glasgow City Centre, Scotland

Course overview: 
This course will cover the concepts, technical background and use of stable 
isotope mixing models (SIMMs) with a particular focus on running them in R. 
This course will cover the concepts, technical background and use of stable 
isotope mixing models (SIMMs) with a particular focus on running them in R. 
Recently SIMMs have become a very popular tool for quantifying food webs and 
thus the diet of predators and prey in an ecosystem. Starting with only basic 
understanding of statistical models, we will cover the do’s and don’ts of using 
SIMMs with a particular focus on the widely used package SIAR and the more 
advanced MixSIAR. Participants will be taught some of the advanced features of 
these packages, which will enable them to produce a richer class of output, and 
are encouraged to bring their own data sets and problems to study during the 
round-table discussions.

Monday 10th – Classes from 09:30 to 17:30
Basic concepts.
Module 1: Introduction; why use a SIMM?
Module 2: An introduction to bayesian statistics.
Module 3: Differences between regression models and SIMMs.
Practical: Revision on using R to load data, create plots and fit statistical 
models.
Round table discussion: Understanding the output from a Bayesian model.

Tuesday 11th – Classes from 09:30 to 17:30
Understanding and using SIAR.
Module 4: Do’s and Don’ts of using SIAR.
Module 5: The statistical model behind SIAR.
Practical: Using SIAR for real-world data sets; reporting output; creating 
richer summaries and plots.
Round table discussion: Issues when using simple SIMMs.

Wednesday 12th – Classes from 09:30 to 17:30
SIBER and MixSIAR.
Module 6: Creating and understanding Stable Isotope Bayesian Ellipses (SIBER).
Module 7: What are the differences between SIAR and MixSIAR?
Practical: Using MixSIAR on real world data sets; benefits over SIAR.
Round table discussion: When to use which type of SIMM.

Thursday 13th – Classes from 09:30 to 17:30
Advanced SIMMs.
Module 8: Using MixSIAR for complex data sets: time series and mixed effects 
models.
Module 9: Source grouping: when and how?
Module 10: Building your own SIMM with JAGS.
Practical: Running advanced SIMMs with JAGS.
Round table discussion: Bring your own data set.

Friday 14th – Classes from 09:30 to 16:00
Bring your own data set.

Email oliverhoo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.  November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01)
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos 
Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/

2.  December 3rd – 7th 2018
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES 
USING R AND STAN (BDRS01)
Glasgow, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

3.  January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

4.  January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

5.  January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

6.  February 4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

7.  February 11th – 15th 2019
REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg02/

8.  25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

9.  March 4th – 8th 2019
BIOACOUSTICS FOR 

[ECOLOG-L] AUSTRALIA - Statistical toolkit for ecologists

[Oliver Hooker]

Statistical toolkit for ecologists (STKE01)

https://www.prstatistics.com/course/statistical-toolkit-for-ecologists-stke01/

This course will be delivered by Dr Aristides (Aris) Moustakas and will run 
from the 21st - 24th May 2019 at Myuna Bay Sport and Recreation, Wangi Road, 
Myuna Bay, New South Wales 2264 Australia.

This course is preceded by an introduction to R which will get students with 
little to R no experience up speed to take this slightly more advanced course - 
a discount is available if both courses are booked.

Course Overview:
This course will cover advanced statistics regarding the analysis of data using 
comprehensive and state-of-the-art techniques. All methods will be illustrated 
using the free, open-source software package R. The course is designed for 
attendees that have a basic knowledge of R and elementary statistics and wish 
to advance this to up-to-date journal publication or conference proceedings 
standards. The course will cover mixed effects models, model selection and 
multi-model inference, generalized linear models (i.e. analysis of non-normally 
distributed datasets), random and fixed effects, variance nesting and spatial 
as well as temporal elements of data analytics. Participants will gain a deeper 
understanding of the models being fitted, and be able interpret the results 
appropriately as well as produce quality graphs. Participants are encouraged to 
bring their own data sets for applying the techniques taught as well as 
potential discussion with the course tutor.

Tuesday 21st – Classes from 09:00 to 17:00
Day 1
Theory:
Introduction, example data sets and challenges in their analyses
Revision: likelihood and inference
Revision: linear regression, GLMs
Practical:
Analysing some example data sets
Fitting generalized linear models in real normally-distributed datasets
Checking model assumptions and residuals 

Wednesday 22nd – Classes from 09:00 to 17:00
Day 2
Theory:
Generalizing the regression for many dependent variables
Model selection and multi-model inference
What is a fixed and what a random effect?
Plotting effects
Practical:
A full normally distributed data analysis, model fitting, ANOVA, residuals, 
plotting effects reporting results
Fitting mixed effects models with fixed and random effects
Nesting variances in random effects

Thursday 23rd – Classes from 09:00 to 17:00
Day 3
Theory:
Dealing with non-normally distributed data
Identifying the distribution of the data
Generalizing the linear model for non-normally distributed data
Plotting quality graphs
Practical :
Identifying the distribution of the data through AIC model selection
Fitting the best model residual error structure in a generalised linear model
Understanding, reporting, plotting, and discussing results

Friday 24th – Classes from 09:00 to 16:00
Day 4
Theory:
Dealing with spatial & temporal data
Advantages of including spatial information
Problems induced by spatial or temporal autocorrelation
Practical:
Plotting spatial data
Spatial analysis
Accounting for spatial or temporal autocorrelation


Email oliverhooo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.  November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01)
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos 
Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/

2.  December 3rd – 7th 2018
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES 
USING R AND STAN (BDRS01)
Glasgow, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

3.  January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

4.  January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

5.  January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

6.  February 4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

7.  February 11th – 15th 2019
REPRODUCIBLE 

[ECOLOG-L] Statistical modelling of time-to-event data using survival analysis: an introduction for animal behaviourists, ecologists and evolutionary biologists (TTED01)

[Oliver Hooker]

Statistical modelling of time-to-event data using survival analysis: an 
introduction for animal behaviourists, ecologists and evolutionary biologists 
(TTED01)

https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

This course will be delivered by Dr. Will Hoppitt for the 21st - 25th January 
2019 in Glasgow City Centre

Course Overview:
Survival analysis is a set of statistical methods initially designed to analyse 
data giving the times at which individuals die, and assess the effect that 
different predictor variables have on the rate of death. However, its 
applications are much broader than this: it can be used to analyse any 
time-to-event data. Ecologists and evolutionary biologists often encounter data 
of this kind. Often factors influencing survival itself will be of interest. 
But there are many other cases, e.g. what factors influence the time of first 
breeding? Or the time taken to reach maturity? Animal behaviourists too will 
encounter this type of data frequently, e.g. what factors influence the time it 
takes to learn a novel behaviour pattern? Or the time to respond to a stimulus? 
etc. And yet the techniques of survival analysis are not generally well known 
by researchers in these disciplines.

In this course, you will learn how to apply survival analysis models to 
quantify the effect that predictor variables (continuous or discrete) have on 
the rate at which events occur, and how to test hypotheses about these effects. 
We will focus on a flexible modelling technique called the Cox proportional 
hazards model, which makes minimal assumptions about the underlying probability 
distributions. You will learn how to fit and interpret these models, how to 
evaluate its assumptions, and how to extend it to model time dependent 
variables, random effects, multistate models and competing risks models.

Course Programme
Monday 21st – Classes from 09:30 to 17:30
Module 1: Statistical modelling of rates and times
Module 2: Parametric survival models and the Cox model

Tuesday 22nd – Classes from 09:30 to 17:30
Module 3: Fitting Cox models
Module 4: Interpreting Cox Models

Wednesday 23rd – Classes from 09:30 to 17:30
Module 5: Evaluating the proportional hazard assumption
Module 6: Stratified Cox models

Thursday 24th – Classes from 09:30 to 17:30
Module 7: Time dependent variables
Module 8: Frailty Models and Multistate models

Friday 25th – Classes from 09:30 to 17:30
Module 9: Competing risks models
Module 10: Open session

Email oliverhoo...@psstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition)

1.November 5th – 8th 2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC 
EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-studying-diversification-and-phenotypic-evolution-pcme01/

2.November 19th – 23rd 2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/

3.November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01)
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos 
Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/

4.December 3rd – 7th 2018
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES 
USING R AND STAN (BDRS01)
Glasgow, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

5.January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-data-using-survival-analysis-tted01/

6.January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr08/

7.January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-analysis-atda01/

8.February 4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01)
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-experiments-for-social-sciences-dres01/

9.

[ECOLOG-L] Introduction to Bayesian data analysis for social and behavioural sciences using R and Stan

[Oliver Hooker]

Introduction to Bayesian data analysis for social and behavioural sciences 
using R and Stan (BDRS01)

This course may be suitable to anyone studying animal behaviour.

https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

This course will be delivered by Dr. Mark Andrews from the 3rd - 7th December 
2018 in Glasgow City Centre.

Course Overview:
This course provides a general introduction to Bayesian data analysis using R 
and the Bayesian probabilistic programming language Stan. We begin with a 
gentle introduction to all the fundamental principles and concepts of Bayesian 
data analysis: the likelihood function, prior distributions, posterior 
distributions, high posterior density intervals, posterior predictive 
distributions, marginal likelihoods, Bayes factors, etc. We will do this using 
some simple probabilistic models that are easy to understand and easy to work 
with. We then proceed to more practically useful Bayesian analyses, starting 
with general linear models, followed by generalized linear models, including 
logistic regression and Poisson regression, followed by multilevel general and 
generalized linear models. For these analyses, we will use real world data 
sets, and carry out the analysis with Stan using the brms interface to Stan in 
R. With each example, we will explore general concepts such as model checking 
and improvement using posterior predictive checks, and model evaluation using 
cross-validation, WAIC, and Bayes factors. In the final part of the course, we 
will delve into some more advanced topics: understanding Markov Chain Monte 
Carlo in depth, Gaussian process regression, probabilistic mixture models.

Course programme
Monday 3rd – Classes from 09:30 to 17:30
Class 1: We will begin with a overview of what Bayesian data analysis is in 
essence and how it fits into statistics as it practiced generally. Our main 
point here will be that Bayesian data analysis is effectively an alternative 
school of statistics to the traditional approach, which is referred to 
variously as the classical, or sampling theory based, or frequentist based 
approach, rather than being a specialized or advanced statistics topic. 
However, there is no real necessity to see these two general approaches as 
being mutually exclusive and in direct competition, and a pragmatic blend of 
both approaches is entirely possible.
Class 2: Introducing Bayes’ rule. Bayes’ rule can be described as a means to 
calculate the probability of causes from some known effects. As such, it can be 
used as a means for performing statistical inference. In this section of the 
course, we will work through some simple and intuitive calculations using 
Bayes’ rule. Ultimately, all of Bayesian data analysis is based on an 
application of these methods to more complex statistical models, and so 
understanding these simple cases of the application of Bayes’ rule can help 
provide a foundation for the more complex cases.
Class 3: Bayesian inference in a simple statistical model. In this section, we 
will work through a classic statistical inference problem, namely inferring the 
number of red marbles in an urn of red and black marbles. This problem is easy 
to analyse completely with just the use of R, but yet allows us to delve into 
all the key concepts of all Bayesian statistics including the likelihood 
function, prior distributions, posterior distributions, maximum a posteriori 
estimation, high posterior density intervals, posterior predictive intervals, 
marginal likelihoods, Bayes factors, model evaluation of out-of-sample 
generalization.

Tuesday 4th – Classes from 09:30 to 17:30
Class 4: Bayesian analysis of linear and normal models. Statistical models 
based on linear relationships and normal distribution are a mainstay of 
statistical analyses in general. They encompass models such as linear 
regression, Pearson’s correlation, t-tests, ANOVA, ANCOVA, and so on. In this 
section, we will describe how to do Bayesian analysis of linear and normal 
models, paying particular attention to Bayesian linear regression. One of the 
aims of this section is to identify some important and interesting parallels 
between Bayesian and classical or frequentist analyses. This shows how Bayesian 
and classical analyses can be seen as ultimately providing two different 
perspectives on the same problem.
Class 5: The previous section provides a so-called analytical approach to 
linear and normal models. This is where we can calculate desired quantities and 
distributions by way of simple formulae. However, analytical approaches to 
Bayesian analyses are only possible in a relatively restricted set of cases. 
However, numerical methods, specifically Markov Chain Monte Carlo (MCMC) 
methods can be applied to virtually any Bayesian model. In this section, we 
will re-perform the analysis presented in the previous section but using MCMC 
methods. For this, 

[ECOLOG-L] Comparative genomics - COURSE

[Oliver Hooker]

LETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL 
AUTOCORRELATION) (MMTS01) 
Crete, GREECE, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/

Oliver Hooker PhD.
PR informatics

2018 publications - 

Alternative routes to piscivory: Contrasting growth trajectories in brown trout 
(Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology 
of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

[ECOLOG-L] Model-based multivariate analysis of abundance data using R - David Warton - AUSTRALIA

[Oliver Hooker]

 (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

11. March 4th – 8th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach 
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

12. March 11th – 15th  2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/

13. March 18th – 22nd 2019
INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01)
Crete, GREECE, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe01/

14. March 25th – 29th 2019
LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/

15. April 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/

16. April 1st – 5th 2019
INDIVIDUAL BASED MODELS FOR ECOLOGSITS (IBME01)
Glasgow, Scotland, Dr Aristides (Aris) Moustakas
Link to follow

17. April 8th – 12th 2019
MACHINE LEARNING (MLUR01)
Glasgow, Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/machine-learning-using-r-mlur01/

18. April 29th – May 3rd 2019
COMPARATIVE GENOMICS (CMGN01)
Glasgow, Scotland, Dr. Fritz Sedlazeck, Dr. Matthias Weissensteiner
https://www.prinformatics.com/course/comparative-genomics-cmgn01/

19. May 6th – 10th 2019 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA03)
Myuna Bay, AUSTRALIA,  Dr. Marco Scotti   
www.prstatistics.com/course/network-analysis-ecologists-ntwa03/

20. May 16th – 18th 2019 (please note this a 3-day course from Thursday to 
Saturday)
AQUATIC MOVEMENT ECOLOGY USING R (AMER01) 
Myuna Bay, AUSTRALIA, Dr. Ross Dwyer, Dr. Vinay Udyawer
Link to follow

21. May 16th – 19th 2019 (please note this a 4-day course from Thursday to 
Monday)
INTRODUCTION TO R FOR EVERYONE (IRFE02)
Myuna Bay, AUSTRALIA, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe02/

22. May 20th – 24th 2019
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV03)
Myuna Bay, AUSTRALIA, Prof. David Warton
https://www.prstatistics.com/course/model-based-multivariate-analysis-of-abundance-data-using-r-mbmv03/

23. May 21st – 24th 2019
STATISTICAL TOOL BOX FOR ECOLOGISTS (TKFE01)
Myuna Bay, AUSTRALIA, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/statistical-toolkit-for-ecologists-tkfe01/

24. June 10th – 14th 2019
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

25. June 17th – 21st 2019
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb06/

26. June 24th – 28th 2019
ADVANCED PYTHON FOR BIOLOGISTS (APYB03)
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb03/

27. July 1st – 5th 2019
DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/

28. September 30th – October 4th 2019
GEOMETRIC MORPHOMETRICS USING R (GMMR02)
Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni 
Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/

29. October 7th – 11th 2019
CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01)
Crete, GREECE, Dr Richard Schuster and Nina Morell
https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/

30. October 21st – 25th 2019
A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL 
AUTOCORRELATION) (MMTS01) 
Crete, GREECE, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/

Oliver Hooker PhD.
PR informatics

2018 publications - 

Alternative routes to piscivory: Contrasting growth trajectories in brown trout 
(Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology 
of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

[ECOLOG-L] NEW COURSE ON BIOACOUSTICS - from theory to data analysis

[Oliver Hooker]

Bioacoustics for ecologists: Hardware, Survey design and Data analysis (BIAC01)

https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/

This brand new course will be delivered by Dr Carlos Abrahams who specialises 
in the analysis of bioacoustic data and Paul Howden-Leach who is a bioacoustics 
consultant involved with the practical side of survey design and data 
collection. It will be held in Glasgow city centre form the 4th - 8th March 
2019.

Course Overview:
This course will introduce and explain the different applications for 
bioacoustics to answer ecological questions. Starting with a detailed overview 
of the correct and most efficient methods of data collecting in the field, this 
course will then go on to show delegates cutting edge methods for analysing and 
interpreting different types of bioacoustic data.

By the end of this 5-day practical course, attendees will have the capacity to 
set up and deploy recording devices, download acoustic data, how to analyse 
this data and report the results.

Bioacoustic methods are becoming increasingly recognised as a valuable approach 
for ecological surveying. Bioacoustics can be used to effectively replace some 
current techniques whilst increasing the quality of the data collected or can 
be used in unison to compliment them.  They are particularly useful for 
developing long-term, permanent datasets that can be independently reviewed, 
particularly for rare species with low detectability, or when working in 
difficult environments.

The course will provide a practical introduction to bioacoustics methods, with 
a mix of lectures and practical workshops, and some optional fieldwork. It will 
start with a basic introduction to sound and recording theory, before 
developing hands-on skills in setting-up and deploying  a range of acoustic and 
ultrasonic audio recorders.  Workshops will then cover the download and 
analysis of audio data, mainly using Kaleidoscope Pro and Audacity software. 
The processed audio data will then be analysed and presented using R,  the free 
software environment for statistical computing and graphics 
(http://www.r-project.org/). 

Example data sets will mostly cover applications for bat and bird surveys, as 
well as the use of Acoustic Indices as biodiversity metrics. If you are working 
in different areas of ecology using bioacoustics please feel free to contact 
oliverhoo...@prstatistics.com so we can advise if the learning outcomes are 
transferable to your field of research.

Course programme
Day 1
INTRO AND SOUND PROPERTIES
Introduction to the course:
People on the course
Course coverage
Resources and references
Introduction to bioacoustics:
What is sound? Emission and propagation
Biological, geological and climate sounds
What are ecoacoustics, bioacoustics and soundscape ecology?
Acoustic niche hypothesis
Uses for bioacoustics:
Studying species and populations
Studying animal behaviour
Studying acoustic communities

Day 2
FIELDWORK DATA COLLECTION AND STORAGE
Hardware and its use in acoustic surveys and monitoring:
Detectors and microphones – choosing and using equipment
Statics vs handheld recording
Acoustic vs. ultrasound
Field sensor setup – practical considerations
Testing, calibration and maintenance
Recording programmes
Survey design
Storing and managing audio data and meta data
Existing guidance – WWF, BCT, etc
Sound reception: microphones, hydrophones, and frequency sensitivity
Digital sound recording
Limitations and emerging opportunities in hardware and sensor deployment
Practical workshops – setup and deployment

Day 3
ACOUSTIC ANALYSIS
Signal processing and frequency analysis
Analysis tools for acoustic data
Conducting further statistical analyses
Limitations and emerging opportunities in acoustic data analysis
Practical workshops – using Kaleidoscope for bats and birds

Day 4
DATA INTERPRETATION
Integrating with stats (R) /QGIS
Practical workshops – using R/QGIS for interpretation of Kaleidoscope results

Day 5
Roundup/conclusions
Discussion of delegate own projects/data

During the course there will be optional evening/morning field trips arranged 
to carry out acoustic recording

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.  November 5th – 8th 2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC 
EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-studying-diversification-and-phenotypic-evolution-pcme01/

2.  November 19th – 23rd 2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck

[ECOLOG-L] AUSTRLIA - Network analysis for ecologists using R

[Oliver Hooker]

Network analysis for ecologists using R (NTWA03)

https://www.prstatistics.com/course/network-analysis-for-ecologists-using-r-ntwa03/

This course will be delivered by Dr Marco Scotti at Myuna Bay Sport and 
Recreation, Wangi Road, Myuna Bay, New South Wales 2264 Australia, from the 6th 
- 10th May 2019.

Course overview: 
The first graphical representation of a food web dates back to 1880, with the 
pioneering works of Lorenzo Camerano. Since then, research on ecological 
networks has further developed and ecology is one of the fields that 
contributed the most to the growth of network science. Nowadays, ecologists 
routinely apply network analysis with a diverse set of objectives that range 
from studying the stability of ecological communities to quantifying energy 
flows in ecosystems.

The course is intended to provide the participants theoretical knowledge and 
practical skills for the study of food webs. First, lessons and exercises will 
introduce basic principles of network theory. Second, ecological examples will 
be focused on binary food webs, networks depicting who eats whom in ecosystems. 
Algorithms quantifying either global food web properties or single species 
features within the trophic network will be introduced. Third, we will study 
how the architecture of the food webs can be used to investigate robustness to 
biodiversity loss, thus helping to predict cascading extinction events. Fourth, 
ecosystem network analysis (ENA), a suite of matrix manipulation routines for 
the study of energy/matter circulation in ecosystems, will be presented. Then, 
we will apply the qualitative algorithm of loop analysis to describe how the 
impacts of perturbations (e.g. overfishing, species invasion and global 
warming) may propagate through food web structure. Finally, we will learn how 
to visualize food web graphs to illustrate their features in an intuitive and 
fancy way.

Course programme
Day 1
Module 1: Introduction to graph theory and network science.
Basic terminology for learning the language of networks: from nodes and links 
to degree distribution.
Three types of mathematical graphs and their properties: random networks, 
small-world networks, and scale-free networks.

Day 2
Module 2: The use of graph theory in ecology: (1) networks representing various 
interactions in ecological communities (e.g., predator-prey and 
plant-pollinator networks); (2) networks illustrating interactions at different 
hierarchical levels (e.g., social networks at the population level and species 
dispersal in the landscape graph).
Who eats whom in ecosystems and at which rate? Binary and weighted food web 
networks.
Quantitative descriptors of food web networks (e.g., fraction of basal, 
intermediate and top species, connectance and link density).

Day 3
Module 3: The structural properties of food web networks.
Biodiversity loss and food web network robustness. How to predict secondary 
extinctions using the information embedded in the network structure of the food 
webs.
The relevance of bipartite networks in ecology for the description of various 
interaction types (e.g., plant-pollinator and plant-seed disperser 
relationships).

Day 4
Module 4: Ecosystem network analysis (ENA): basic principles and algorithms.
Trophic considerations: the effective trophic position of species in acyclic 
food webs.
Finn cycling index and the amount of cycling in ecosystems.
Loop analysis: basic principles and its use for modelling signed digraphs.
Application of the qualitative algorithm of loop analysis to predict how food 
web interactions can mediate ecosystem responses to perturbations.

Day 5
Module 5: Can network analysis help to better understand possible consequences 
of global warming on ecological communities?
Network visualization with R: how to change the layout of graphs illustrating 
food web interactions and bipartite networks.

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.  November 5th – 8th 2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND PHENOTYPIC 
EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-studying-diversification-and-phenotypic-evolution-pcme01/

2.  November 19th – 23rd 2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
https://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr02/

3.  November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER01)
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos 
Carmona

[ECOLOG-L] Ecological niche modelling using R (ENMR03)

[Oliver Hooker]

Ecological niche modelling using R (ENMR03)

https://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr03/

This course will be delivered by Dr. Neftalí Sillero from the 11th - 15th 
March 
2019 in Glasgow City Centre.

Please share!

Course Overview:
The course will cover the base theory of ecological niche modelling and its 
main methodologies. By the end of this 5-day practical course, attendees 
will have the capacity to perform ecological niche models and understand 
their results, as well as to choose and apply the correct methodology 
depending on the aim of their type of study and data.

Ecological niche, species distribution, habitat distribution, or climatic 
envelope models are different names for similar mechanistic or correlative 
models, empirical or mathematical approaches to the ecological niche of a 
species, where different types of ecogeographical variables (environmental, 
topographical, human) are related with a species physiological data or 
geographical locations, in order to identify the factors limiting and 
defining the species’ niche. ENMs have become popular due to the need for 
efficiency in the design and implementation of conservation management.

The course will be mainly practical, with some theoretical lectures. All 
modelling processes and calculations will be performed with R, the free 
software environment for statistical computing and graphics 
(http://www.r-project.org/). Attendees will learn to use modelling 
algorithms like Maxent, Bioclim, Domain, and logistic regressions, and R 
packages for computing ENMs like Dismo and Biomod2. Also, students will 
learn to compare different ecological niche models using the Ecospat 
package.

Course programme

Monday 17th – Classes from 09:30 to 17:30
Elementary concepts on Ecological Niche Modelling
Module 1: Introduction to ENM theory. Definition of ecological niche model; 
introduction to species ecological niche theory, types of ecological 
niches, types of ENM, diagram BAM, ENMs as approximations to species’ 
niches.
Module 2: Problems and limitations on ENM. Assumptions and uncertainties, 
equilibrium concept, niche conservatism, autocorrelation and intensity, 
sample size, correlation of environmental variables, size and form of study 
area, thresholds, model validation, model projections.
Module 3: Methods on ENM. Mechanistic and correlative models. Overlap 
Analysis, Biomod, Domain, Habitat, Distance of Mahalanobis, ENFA, GARP, 
Maxent, Logistic regression, Generalised Linear Models, Generalised 
Additive Models, Generalised Boosted Regression Models, Random Forest, 
Support Vector Machines, Artificial Neural Network.
Module 4: Conceptual and practice steps to calculate ENM. How to make an 
ENM step-by-step.
Module 5: Applications of ENM. Ecological niche identification, 
Identification of contact zones, Integration with genetical data, Species 
expansions, Species invasions, Dispersion hypotheses, Species conservation 
status, Prediction of future conservation problems, Projection to future 
and past climate change scenarios, Modelling past species, Modelling 
species richness, Road-kills, Diseases, Windmills, Location of protected 
areas.

Tuesday 18th – Classes from 09:30 to 17:30
Prepare environmental variables and run ecological niche models with dismo 
package.
Module 6: Preparing variables. Choosing environmental data sources, 
Downloading variables, Clipping variables, Aggregating variables, Checking 
pixel size, Checking raster limits, Checking NoData, Correlating variables.
Module 7: Dismo practice. How to run an ENM using the R package dismo.

Wednesday 19th – Classes from 09:30 to 17:30
Run ecological niche models with Biomod2 package and Maxent.
Module 8: Biomod2 practice. How to run an ENM using the R package Biomod2.
Module 9: Maxent practice. How to run an ENM using the R packages dismo and 
Biomod2 as well as Maxent software.

Thursday 20th – Classes from 09:30 to 17:30
Compare ecological niche models with ecospat.
Module 10: Ecospat practice. Compare statistically two different ecological 
niche models using the R package Ecospat.
Module 11: Students’ talks. Attendees will have the opportunity to present 
their own data and analyse which is the best way to successfully obtain an 
ENM.

Friday 21st – Classes from 09:30 to 16:00
Run ecological niche models with your own data.
Module 12: Final practical. In this practical, the students will run ENM 
with their own data or with a new dataset, applying all the methods showed 
during the previous days.

Email oliverhoo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04)
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-

[ECOLOG-L] Crete - Introduction to statistics and R for everyone (IRFE01)

[Oliver Hooker]

Introduction to statistics and R for everyone (IRFE01)

https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
anyone-irfe01/

This course will be delivered by Dr Aristides (Aris) Moustakas from the 
18th - 22nd March 2019 in Crete.

Please share!

Course Overview:
This course will provide attendees with the opportunity to learn how (a) to 
understand and read modern statistics reported in scientific studies, (b) 
use basic modern statistics for analysing their own data, using the open 
access R statistical software. The course will focus more on data deriving 
from life sciences namely medicine, biology, and ecology. The course will 
initially revise basic statistical knowledge of what is a sample and a 
distribution, and what is hypothesis testing. Sequentially, attendees will 
be introduced to the R statistical software. Then the course will proceed 
with the use of generalised linear models and their equivalency with 
t-tests, ANOVA, MANOVA and ANCOVA for analysing normally as well as non-
normally distributed data and ultimately quantify results, errors, and 
uncertainty. Attendees will also learn how to produce quality graphs and 
figures.

Intended Audience
This workshop is ideal for scientists any scientists seeking an 
introduction to statistical inference and data analysis coming from diverse 
scientific disciplines such as medicine, biology, and ecology. No prior 
knowledge of R is required. However, some prior knowledge of basic 
statistics is required (e.g. types of distribution, what is a dependent and 
independent variable (explanatory variables, e.g. body weight).

Course programme

Monday 18th – Classes from 09:00 to 17:00

Lecture
1-1) Revision of basic statistics: what is a distribution, sampling, data 
types, factors, basic statistical tests
1-2) Introduction to the R environment
1-3) Packages, names, data types
1-4) Read, write, access, manipulate data

Practical
1-1) Install R packages
1-2) Load datasets
1-3) Perform basic statistics, t-tests, ANOVA

Tuesday 19th – Classes from 09:00 to 17:00

Lecture
2-1) Experimental design, probability distributions, parameter estimation, 
condence intervals
2-2) Null hypothesis testing
2-3) Multiple comparisons, Generalized ANOVA, MANOVA, MANCOVA and their 
equivalency (and easiness of doing so) using a Generalized Linear Model

Practical
2-1) Simple linear regression
2-2) Fitting generalized linear models in real normally-distributed datasets

Wednesday 20th – Classes from 09:00 to 17:00

Lecture
3-1) Generalizing the regression for many dependent variables
3-2) Model selection and multi-model inference
3-3) Plotting effects
3-4) Checking model assumptions and residuals

Practical
3-1) A full normally distributed data analysis
3-2) Model fitting
3-3) ANOVA
3-4) Residuals
3-5) Plotting effects reporting results

Thursday 21st – Classes from 09:00 to 17:00

Lecture
4-1) Time-to-event (survival analysis)
4-2) Logistic regression
4-3) Mixed effects models – fixed effects and random effects

Practical
4-1) Survival analysis and plotting results
4-2) Fitting mixed effects models, understanding the difference between 
random and fixed effects
4-3) Plotting all effects

Friday 22nd – Classes from 09:00 to 16:00

Lecture
5-1) Dealing with non-normally distributed data
5-2) Identifying the distribution of the data
5-3) Generalizing the linear model for non-normally distributed data
5-4) Data visualisation – Plotting publication quality figures

Practical
5-1) Identifying the distribution of the data through AIC model selection
5-2) Fitting the best model residual error structure in a generalised 
linear model
5-3) Understanding, plotting, interpreting (reporting) and discussing 
results

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 

1.  October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04)
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

2.  October 23rd – 25th 2018
INTRODUCTIUON TO R (This is a private ‘in-house’ course)
London, England, Dr William Hoppitt

3.  October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb02/

4.  October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

5.  November 5th – 8th 2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)

[ECOLOG-L] Structural Equation Modelling for Ecologists and Evolutionary Biologists

[Oliver Hooker]

6/

31. June 24th – 28th 2019
ADVANCED PYTHON FOR BIOLOGISTS (APYB03)
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb03/

32. July 1st – 5th 2019
DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/data-visualisation-and-manipulation-
using-python-dvmp01/

33. October 7th – 11th 2019
CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01)
Crete, Greece, Dr Richard Schuster and Nina Morell
https://www.prstatistics.com/course/conservation-planning-using-prioritizr-
from-theory-to-practice-prtz01/

34. October 21st – 25th 2019
A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL 
AUTOCORRELATION) (MMTS01) 
Crete, Greece, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-
including-temporal-and-spatial-autocorrelation-mmts01/

Oliver Hooker PhD.
PR statistics

2018 publications - 

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

[ECOLOG-L] Phylogenetic comparative methods for studying diversification and phenotypic evolution

[Oliver Hooker]

/course/conservation-planning-using-prioritizr-
from-theory-to-practice-prtz01/

34. October 21st – 25th 2019
A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL 
AUTOCORRELATION) (MMTS01) 
Crete, Greece, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-
including-temporal-and-spatial-autocorrelation-mmts01/

Oliver Hooker PhD.
PR statistics

2018 publications - 

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

[ECOLOG-L] Aquatic Acoustic Telemetry Data Analysis

[Oliver Hooker]

/reproducible-data-science-for-
population-genetics-rdpg02/

15.25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

16.March 4th – 8th 2019
BIOACUSTIC DATA ANALYSIS
Glasgow, Scotland, Dr. Paul Howden-Leach 
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-
survey-design-and-data-analysis-biac01/

17.March 11th – 15th  2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr03/

18.March 18th – 22nd 2019
INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01)
Crete, Greece, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
anyone-irfe01/

19.March 25th – 29th 2019
LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

20.April 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy02/

21.April 1st – 5th 2019
INDIVIDUAL BASED MODELS FOR ECOLOGSITS (IBME01)
Glasgow Scotland, Dr Aristides (Aris) Moustakas
Link to follow

22.April 8th – 12th 2019
MACHINE LEARNING 
Glasgow Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/machine-learning-using-r-mlur01/

23.April 8th – 12th 2019
Spatial modelling, analysis and statistical inference of genomic data 
(SMAG01)
Crete, Greece, Dr Matt Fitzpatrick
https://www.prstatistics.com/course/spatial-modelling-analysis-and-
statistical-inference-of-genomic-data-smag01/

24.May 6th – 10th 2019
MARK RECAPTURE METHODS AND DATA ANALYSIS FOR ECOLOGISTS (MRKR01)
Myuna Bay, Australia, TBC

25.May 16th – 18th 2019 (please note this a 3-day course from Thursday 
to Saturday)
Aquatic movement ecology using R (AMER01) 
Myuna Bay, Australia, TBC

26.May 16th – 19th 2019 (please note this a 4-day course from Thursday 
to Monday)
Introduction to R for everyone (IRFE02)
Myuna Bay, Australia, Dr Aristides (Aris) Moustakas

27.May 20th – 24th 2019
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV03)
Myuna Bay, Australia, Prof. David Warton
https://www.prstatistics.com/course/model-based-multivariate-analysis-of-
abundance-data-using-r-mbmv03/

28.May 21st – 24th 2019
A statistical tool box for ecologists (STBE01)
Myuna Bay, Australia, Dr Aristides (Aris) Moustakas

29.June 10th – 14th 2019
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

30.June 17th – 21st 2019

INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb06/

31.June 24th – 28th 2019
ADVANCED PYTHON FOR BIOLOGISTS (APYB03)
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb03/

32.July 1st – 5th 2019
DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/data-visualisation-and-manipulation-
using-python-dvmp01/

33.October 7th – 11th 2019
CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01)
Crete, Greece, Dr Richard Schuster and Nina Morell
https://www.prstatistics.com/course/conservation-planning-using-prioritizr-
from-theory-to-practice-prtz01/

34.October 21st – 25th 2019
A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL 
AUTOCORRELATION) (MMTS01) 
Crete, Greece, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-
including-temporal-and-spatial-autocorrelation-mmts01/

Oliver Hooker PhD.
PR statistics

2018 publications - 

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

[ECOLOG-L] ecologists using R (ADVR08)

[Oliver Hooker]

ecologists using R (ADVR08)

https://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr08/

This course will de delivered by Dr. Luc Bussiere from the 21st - 25th - 
January 2019 in Glasgow City centre.

Course Overview:
This course will provide an introduction to working with real-life data 
typical of those encountered in the field of evolutionary biology and 
ecology. The course will be delivered by Dr. Luc Bussiere, Dr. Tom Houslay 
and Dr. Ane Timenes Laugen who are all practicing academics in the field of 
evolutionary biology.  This five day course will consist of series of 
modules (each lasting roughly half a day) covering model selection and 
simplification, generalised linear models, mixed effects models,  and non-
linear models. Along the way you will gain in depth experience in 
data ‘wrangling’, data and model visualisation and plotting, as well as 
exploring and understanding model diagnostics. Classes will comprises of a 
mixture of lectures and practicals designed to either build required skills 
for future modules or to perform a family of analyses that is frequently 
encountered in the biological literature.

Course Programme

Monday 21st – Classes from 09:30 to 17:30

Course introduction; techniques for data manipulation, aggregation, and 
visualisation; introduction to linear regression. Packages: {tidyr}, 
{dplyr}, {ggplot2}

Tuesday 22nd – Classes from 09:30 to 17:30

Linear models (diagnostics, collinearity, scaling, plotting fitted values); 
fitting and interpreting interaction terms; model selection and 
simplication; general linear models and ANCOVA.
Packages: {stats}, {car}

Wednesday 23rd – Classes from 09:30 to 17:30

Generalized linear models (logistic and Poisson regression); predicting 
using model objects and visualizing model fits. Packages: {broom}, 
{visreg}, {ggplot2}

Thursday 24th – Classes from 09:30 to 17:30
Mixed effects models in theory and practice; visualising fixed and random 
effects.
Packages: {lme4}, {broom}, {ggplot2}, {sjPlot}

Friday 85th – Classes from 09:30 to 16:00
Fitting nonlinear functions (polynomial & mechanistic models); brief 
introduction to more advanced topics & combining methods (e.g., generalised 
linear mixed effects, nonlinear mixed effects, and zero-inflated and zero-
altered models). Packages: {nlsTools}

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.  October 8th – 12th 2018
INTRODUCTION TO FREQUENTIST AND BAYESIAN MIXED (HIERARCHICAL) MODELS 
(IFBM01)
Glasgow, Scotland, Dr Andrew Parnell
https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-
mixed-models-ifbm01/

2.  October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04)
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

3.  October 23rd – 25th 2018
INTRODUCTIUON TO R (This is a private ‘in-house’ course)
London, England, Dr William Hoppitt

4.  October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb02/

5.  October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

6.  November 5th – 8th 2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

7.  November 19th – 23rd 2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr02/

8.  November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION 
(FEER01)
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

9.  December 3rd – 7th 2018
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES 
USING R AND STAN (BDRS01)
Glasgow, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-
for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

10. January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT 

[ECOLOG-L] Landscape genetic data analysis using R (LNDG03)

[Oliver Hooker]

Landscape genetic data analysis using R (LNDG03)

https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

This course will de delivered by Prof. Rodney Dyer from the 25th - 29th 
March 2019 in Glasgow City centre.

Course Overview:
The term ‘landscape genetics’ has been applied studies that integrate 
ecological context and intervening landscape into population genetic 
analyses of contemporary processes such as gene flow and migration.  This 
course will cover the basics of both quantitative landscape ecology and 
population genetics, focusing on how we develop and evaluate 
spatial/genetic analyses using the R platform.

Monday 25th – Classes from 09:30 to 17:30

Module 1: Spatial & Ecological Data.
Installation & configuring R & RStudio
Acquiring spatial data, projections, and visualization
Vector and raster data

Tuesday 26th – Classes from 09:30 to 17:30

Module 2: Genetic markers and basic analyses
Genetic markers and sampling
Genetic distance, diversity, and structure
Ordination techniques based upon genetic markers

Wednesday 27th – Classes from 09:30 to 17:30

Module 3: Integrating spatial and genetic data
Barrier detection & population division
Resistance Modeling
Mantel and distance regressions
Remote sensing – LiDAR and Hyperspectral data

Thursday 28th – Classes from 09:00 to 17:00

Module 4: Integrating spatial and genetic data
Spatial autocorrelation
Network Approaches
PCMN & Redundancy

Friday 29th – Classes from 09:30 to 16:00

Module 5: Adaptive Genetic Variance
Outliers & gradients
Quantitative genetics, why we should care.
Chromosome walking

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.  October 8th – 12th 2018
INTRODUCTION TO FREQUENTIST AND BAYESIAN MIXED (HIERARCHICAL) MODELS 
(IFBM01)
Glasgow, Scotland, Dr Andrew Parnell
https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-
mixed-models-ifbm01/

2.  October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04)
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

3.  October 23rd – 25th 2018
INTRODUCTIUON TO R (This is a private ‘in-house’ course)
London, England, Dr William Hoppitt

4.  October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb02/

5.  October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

6.  November 5th – 8th 2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

7.  November 19th – 23rd 2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr02/

8.  November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION 
(FEER01)
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

9.  December 3rd – 7th 2018
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES 
USING R AND STAN (BDRS01)
Glasgow, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-
for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

10. January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

11. January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr08/

12. January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-

[ECOLOG-L] FINAL CALL FOR Applied Bayesian modelling for ecologists

[Oliver Hooker]

FINAL CALL FOR Applied Bayesian modelling for ecologists and 
epidemiologists (ABME04)

https://www.prstatistics.com/course/applied-bayesian-modelling-for-
ecologists-and-epidemiologists-abme04/

This course will be delivered by Prof. Matt Denwood in Glasgow city centre 
form the 15th - 19th October 2018.

Course Overview:
This application-driven course will provide a founding in the basic theory 
& practice of Bayesian statistics, with a focus on MCMC modeling for 
ecological & epidemiological problems. Starting from a refresher on 
probability & likelihood, the course will take students all the way to 
cutting-edge applications such as state-space population modelling & 
spatial point-process modelling. By the end of the week, you should have a 
basic understanding of how common MCMC samplers work and how to program 
them, and have practical experience with the BUGS language for common 
ecological and epidemiological models. The experience gained will be a 
sufficient foundation enabling you to understand current papers using 
Bayesian methods, carry out simple Bayesian analyses on your own data and 
springboard into more elaborate applications such as dynamical, spatial and 
hierarchical modelling.

Monday 15th – Classes from 09:30 to 17:30
Module 1: Revision of likelihoods using full likelihood profiles and an 
introduction to the theory of Bayesian statistics. Probability and 
likelihood. Conditional, joint and total probability, independence, Baye’s 
law. Probability distributions. Uniform, Bernoulli, Binomial, Poisson, 
Gamma, Beta and Normal distributions – their range, parameters and common 
uses of Likelihood and parameter estimation by maximum likelihood. 
Numerical likelihood profiles and maximum likelihood. Introduction to 
Bayesian statistics.
Relationship between prior, likelihood & posterior distributions. 
Summarising a posterior distribution; The philosophical differences between 
frequentist & Bayesian statistics, & the practical implications of these.
Applying Bayes’ theorem to discrete & continuous data for common data types 
given different priors. Building a posterior profile for a given dataset, & 
compare the effect of different priors for the same data.

Tuesday 16th – Classes from 09:30 to 17:30
Module 2: An introduction to the workings of MCMC, and the potential 
dangers of MCMC inference.  Participants will program their own (basic) 
MCMC sampler to illustrate the concepts and fully understand the strengths 
and weaknesses of the general approach.  The day will end with an 
introduction to the bugs language.
Introduction to MCMC. The curse of dimensionality & the advantages of MCMC 
sampling to determine a posterior distribution. Monte Carlo integration, 
standard error, & summarising samples from posterior distributions in R. 
Writing a Metropolis algorithm & generating a posterior distribution for a 
simple problem using MCMC.
Markov chains, autocorrelation & convergence. Definition of a Markov chain. 
Autocorrelation, effective sample size and Monte Carlo error. The concept 
of a stationary distribution and burnin. Requirement for convergence 
diagnostics, and common statistics for assessing convergence. Adapting an 
existing Metropolis algorithm to use two chains, & assessing the effect of 
the sampling distribution on the autocorrelation. Introduction to BUGS  
running simple models in JAGS. Introduction to the BUGS language & how a 
BUGS model is translated to an MCMC sampler during compilation. The 
difference between deterministic & stochastic nodes, & the contribution of 
priors & the likelihood. Running, extending & interpreting the output of 
simple JAGS models from within R using the runjags interface.

Wednesday 17th – Classes from 09:30 to 17:30
Module 3: Common models for which jags/bugs would be used in practice, with 
examples given for different types of model code.  All aspects of writing, 
running, assessing and interpreting these models will be extensively 
discussed so that participants are able and confident to run similar models 
on their own. There will be a particularly heavy focus on practical 
sessions during this day.  The day will finish with a discussion of how to 
assess the fit of mcmc models using the deviance information criterion 
(dic) and other methods. Using JAGS for common problems in biology. 
Understanding and generating code for basic generalised linear mixed models 
in JAGS. Syntax for quadratic terms and interaction terms in JAGS.
Essential fitting tips and model selection. The need for minimal cross-
correlation and independence between parameters and how to design a model 
with these properties. The practical methods and implications of minimizing 
Monte Carlo error and autocorrelation, including thinning. Interpreting the 
DIC for nested models, and understanding the limitations of how this is 
calculated. Other methods of model selection and where these might be more 
useful than DIC. Most commonly used methods Rationale and use 

[ECOLOG-L] FINAL CALL FOR Introduction to bioinformatics for DNA and RNA sequence analysis

[Oliver Hooker]

FINAL CALL FOR Introduction to bioinformatics for DNA and RNA sequence 
analysis (IBDR01)

https://www.prinformatics.com/course/introduction-to-bioinformatics-for-dna-
and-rna-sequence-analysis-ibdr01/

This course will be delivered by Dr. Malachi Griffith in Glasgow city 
centre from the 29 October- 2 November 2018

Course Overview:
Analysis of high throughput genome and transcriptome data is major 
component of many research projects ranging from large-scale precision 
medicine efforts to focused investigations in model systems. This analysis 
involves the identification of specific genome or transcriptome features 
that predispose individuals to disease, predict response to therapies, 
influence diagnosis/prognosis, or provide mechanistic insights into disease 
models. During this course (IBDR01), students will perform an example end-
to-end bioinformatics analysis of genome (WGS and Exome) and transcriptome 
(RNA-seq) data. Students will start with raw sequence data for a 
hypothetical case, learn to install and use the tools needed to analyze 
this data on the cloud, and visualize and interpret results. After 
completing the course, students should be in a position to (1) understand 
raw sequence data formats, (2) perform bioinformatics analyses on the 
cloud, (3) run complete analysis pipelines for alignment, variant calling, 
annotation, and RNA-seq (transcriptome analysis approaches will be a major 
component of the workshop), (4) visualize and interpret whole genome, exome 
and RNA-seq results, (5) leverage the identification of passenger variants 
for immunotherapy applications, and (6) begin to place these results in a 
clinical context by use of variant knowledgebases. The data, tools, and 
analysis will be most directly relevant to human genomics and 
bioinformatics research. However, many of the skills and concepts covered 
will be applicable to other human diseases and model organisms. 
Furthermore, many analysis concepts covered during the workshop will be 
broadly applicable to other “big data” research problems. All course 
materials (including copies of presentations, practical exercises, data 
files, and example scripts prepared by the instructing team) will be 
provided electronically to participants.

Monday 29th – Classes from 09:30 to 17:30

Session 1. Introduction to genomics and bioinformatics.
In this session, students will be introduced to key concepts of genomics 
and their application to genomics research and precision medicine in 
cancer. An introduction to next-generation sequencing platforms and related 
bioinformatics approaches will also be provided. Core concepts and tools 
introduced: fundamentals of genome and transcriptome analysis, next-
generation sequencing, precision/personalized medicine approaches (using 
cancer as an exemplar disease).

Session 2. Introduction to genomics data, file formats, QC, and cloud 
analysis.
In this session, students will be introduced to a hypothetical patient case 
and related samples to be analyzed throughout the course. Students will be 
provided with an introduction to the whole genome, exome, transcriptome and 
other data sets we have generated for this test case. Information on where 
to get the raw data and how to access it (and other test data) will be 
provided. Using this data as an example, the students will learn 
fundamentals of next generation sequence (NGS) data formats. The students 
will also be introduced to accessory files needed for analysis including 
reference genomes, reference transcriptomes, and annotation files. Tools 
for QC analysis of raw data will be demonstrated. Since most analysis will 
be performed on the cloud, each student will learn how to launch and log 
into their own cloud compute environment. Students will learn how to 
install bioinformatics tools and learn to use some of the most broadly 
useful tool kits for NGS data. Core concepts and tools introduced: file 
formats (Fasta, FastQ, SAM/BAM/CRAM, VCF, GTF), bedtools, Picard, samtools, 
fastQC, cloud computing (AWS, EC2).

Tuesday 30th – Classes from 09:30 to 17:30

Session 3. Primary genome data analysis (sequence alignment and 
visualization).
In this session, we will start to complete analysis of NGS data at the 
command line. Students will log into the cloud, and starting with their own 
copy of the raw data will align the whole genome and exome data to a 
reference genome. Following alignment, students will conduct a second 
quality analysis of the data and learn to visualize alignments in IGV. Core 
concepts and tools introduced: alignment algorithms, reference indexes, 
BWA, BWA-mem, alignment indexes, alignment flags, genome browsers, 
duplicate marking, alignment merging and sorting, IGV.

Session 4. Whole genome and exome variant calling and annotation.
In this session, we will introduce different algorithms for identifying 
sequence variations of various types from either whole genome or exome data 
(or both). Both germline and 

[ECOLOG-L] FINAL CALL FOR Introduction to R for biologists (IRFB02)

[Oliver Hooker]

FINAL CALL FOR Introduction to R for biologists (IRFB02)

https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb02/

This course will be delivered by Olivier Gauthier in Glasgow city centre 
from the 29 October - 1 November 2018

Course overview: 
The course will consist of a series of 8 modules each lasting roughly half 
a day, and designed to build required skills for subsequent modules and 
more advanced courses. At its conclusion, participants will have acquired 
basic skills in coding with R, and will be able to perform and interpret 
simple analyses, and critically evaluate similar analyses from the 
scientific literature and technical reports.

Monday 29th
1. Data visualisation using ggplot2
2. Packages, names, data types
3. Read, write, access, manipulate data

Tuesday 30th
1. Scripts and projects
2. Probability distributions, parameter estimation, condence intervals
3. Null hypothesis testing

Wednesday 31st
1. Control statements
2. Writing R Functions
3. Simple linear regression

Thursday 1st
1. Multiple linear regression (Estimation of model parameters, Ordinary and 
standardized regression coefficients, Multicollinearity, Hypothesis testing)
2. Model and variable selection

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition) 


1.October 8th – 12th 2018
INTRODUCTION TO FREQUENTIST AND BAYESIAN MIXED (HIERARCHICAL) MODELS 
(IFBM01)
Glasgow, Scotland, Dr Andrew Parnell
https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-
mixed-models-ifbm01/

2.October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04)
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

3.October 23rd – 25th 2018
INTRODUCTIUON TO R (This is a private ‘in-house’ course)
London, England, Dr William Hoppitt

4.October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb02/

5.October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

6.November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

7.November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr02/

8.November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION 
(FEER01)
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

9.December 3rd – 7th 2018
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES 
USING R AND STAN (BDRS01)
Glasgow, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-
for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

10.January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

11.January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr08/

12.January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

13.February  4th – 8th 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

14.February 11th – 15th 2019
REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain 

[ECOLOG-L] Introduction to R for biologists (IRFB02)

[Oliver Hooker]

 and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

15. 4th – 8th February 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

16. February 11th – 15th 2019
REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-
population-genetics-rdpg02/

17. 25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

18. March 4th – 8th 2019
BIOACUSTIC DATA ANALYSIS
Glasgow, Scotland, Dr. Paul Howden-Leach 
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-
survey-design-and-data-analysis-biac01/

19. March 11th – 15th  2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr03/

20. MARCH 18th – 22nd 2019
INTRODUCTION TO STATISTICS AND R FOR EVERYONE (IRFE01)
Crete, Greece, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
anyone-irfe01/

21. March 25th – 29th 2019
LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

22. A pril 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy02/

23. April 8th – 12th
MACHINE LEARNING
Glasgow Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/machine-learning-using-r-mlur01/


-- 
Oliver Hooker PhD.
PR statistics

2018 publications - 

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] SCHOLARSHIPS for the course "Introduction to Frequentist and Bayesian mixed (Hierarchical) models

[Oliver Hooker]

PARTFUNDED SCHOLARSHIPS for the course "Introduction to Frequentist and 
Bayesian mixed (Hierarchical) models (IFBM01)"

This course will run from the 8th - 12th October 2018 in Glasgow City 
Centre, Scotland, UK

www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-mixed-
models-ifbm01/

PS STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME 
THEY ARE ABLE TO OFFER PART-FUNDED SCHOLARSHIPS FOR THREE UP-COMING COURSES


1)Introduction to Frequentist and Bayesian mixed (Hierarchical) 
models (IFBM01)

As well as…

2)Time series models for ecologists (TSME02)
3)Applied Bayesian modelling for ecologists and epidemiologists 
(ABME04)


SCHOLARSHIPS FOR IFBM01 CONTRIBUTE TOWARDS COURSE AND ACCOMMODATION FEES 
WITH ALL INCLUSIVE PLACES (accommodation and meals included) AVAILABLE AT 
£475.00 (Fees have been subsidised by 40% from £775.00). 


Applications should be sent to oliverhoo...@psstatistics.com and contain

the following.

1.  Full name

2.  Institute name

3.  PhD subject title or Post doc research questions

4.  Do you hold a funded position

5.  150 words why this course would be relevant to your 
research or how it would help.

Application deadline is Thursday 13th September and decisions will be made 
by Friday 14th September 2018.

We still have ‘normal’ places available for anyone else interested.

Full course details are given below

Introduction to Frequentist and Bayesian mixed (Hierarchical) models 
(IFBM01)

https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-
mixed-models-ifbm01/

Course Overview:
This course will cover introductory mixed or hierarchical modelling (fixed 
and random effects models) for real-world data sets from both a Frequentist 
and Bayesian perspective. These methods lie at the forefront of statistics 
research and are a vital tool in the scientist’s toolbox. The course 
focuses on introducing concepts and demonstrating good practice in mixed 
modelling. All methods are demonstrated with data sets which participants 
can run themselves. Participants will be taught how to fit hierarchical 
models using both the standard lme4 mixed effects models library in R, 
together with the Bayesian modelling framework via rstanarm. The course 
covers the full gamut from simple regression models through to full 
generalised multivariate mixed structures. The relevant advantages and 
disadvantages of both the Frequentist and Bayesian approaches will be 
presented.. Participants are encouraged to bring their own data sets for 
discussion with the course tutors.

Oliver Hooker PhD.
PS statistics

2018 publications - 

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Scholarships - Time series models for ecologists stats course

[Oliver Hooker]

PARTFUNDED SCHOLARSHIPS for the course "Time series models for ecologists 
(TSME02) deadline 14/09/2018"

This course will run from the 1st - 5th October 2018 in Glasgow City 
Centre, Scotland, UK

www.prstatistics.com/course/time-series-models-for-ecologists-tsme02/

PR STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME 
THEY ARE ABLE TO OFFER PART-FUNDED SCHOLARSHIPS FOR THREE UP-COMING COURSES


1)  Time series models for ecologists (TSME02)

As well as…

2)  Introduction to Frequentist and Bayesian mixed (Hierarchical) 
models (IFBM01)
3)  Applied Bayesian modelling for ecologists and epidemiologists 
(ABME04)


SCHOLARSHIPS FOR TSME02 CONTRIBUTE TOWARDS COURSE AND ACCOMMODATION FEES 
WITH ALL INCLUSIVE PLACES (accommodation and meals included) AVAILABLE AT 
£475.00 (Fees have been subsidised by 40% from £775.00). 


Applications should be sent to oliverhoo...@prstatisitics.com and contain

the following.

1.  Full name

2.  Institute name

3.  PhD subject title or Post doc research questions

4.  Do you hold a funded position

5.  150 words why this course would be relevant to your 
research or how it would help.

Application deadline is Thursday 13th September and decisions will be made 
by Friday 14th September 2018.

We still have ‘normal’ places available for anyone else interested.

Full course details are given below

Time series models for ecologists (TSME02) deadline 14/09/2018

https://www.prstatistics.com/course/time-series-models-for-ecologists-
tsme02/

Course Overview:
This course will cover time series analysis with a particular focus on 
applications in ecology. All methods will be illustrated using the free, 
open-source software package R. The course is designed for attendees that 
have a basic knowledge of R and elementary statistics but not necessarily 
time series. Time Series data are ubiquitous in the physical sciences, and 
models for their behaviour enable scientists to understand temporal 
dynamics and predict future values. The course will cover a range of 
techniques from time series decomposition, seasonally adjusting, temporal 
autocorrelation and correlograms, simple exponential smoothing and ARIMA 
modelling approaches up to complex Bayesian models. Participants will gain 
a deeper understanding of the models being fitted, and be able interpret 
the results appropriately. Participants are encouraged to bring their own 
data sets for discussion with the course tutor.

Oliver Hooker PhD.
PR statistics

2018 publications - 

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Phylogenetic comparative methods for studying diversification and phenotypic evolution

[Oliver Hooker]

Phylogenetic comparative methods for studying diversification and 
phenotypic evolution (PCME01)

https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

This course will be delivered by Dr. Antigoni Kaliontzopoulou in Glasgow 
City Centre from 5th - 8th November 2018.

Please feel free to share anywhere you see fit.

Course Overview:
Phylogenetic comparative methods are commonly used nowadays to investigate 
how species diversification occurs and to test hypotheses about the 
mechanisms that drive phenotypic evolution, e.g. to model speciation and 
extinction, to understand why some groups are more diverse than others, to 
test whether phenotypic traits have evolved under neutral, directional or 
diversifying selection, to investigate how evolutionary rates are modified 
across the evolutionary history of a group etc. In all these cases, a 
phylogenetic hypothesis for the group of interest is combined to phenotypic 
and ecological data at the species level to understand the tempo and mode 
of evolutionary change.

The objective of this course is to provide an overview of these methods and 
of the tools available for their implementation in the R statistical 
language. During theoretical sessions, we will review the main concepts and 
statistical tools necessary for testing hypotheses about species 
diversification and phenotypic evolution. These will then be implemented 
during practical's through worked examples to provide the participants with 
hands-on experience on data management and the implementation of these 
methods to real biological data.

Intended Audience
Research postgraduates, practicing academics and primary investigators in 
evolutionary ecology with interest for any kind of studies involving 
evolutionary inferences across phylogenetically related species.

Monday 29th
9:00 – 9:30: Introductions
9:30 – 10:30: Why do we need PCMs? A short history of the field
11:00 – 12:00: Testing for phylogenetic signal
13:00 – 14:00: Ancestral character reconstruction
14:30 – 17:30: PRACTICALS

Tuesday 30th
Testing hypotheses on phenotypic evolution
9:00 – 10:30: Phylogenetic independent contrasts and phylogenetic GLS
11:00 – 12:30: Phylogenetically-informed ordination
14:30 – 17:30: PRACTICALS

Wednesday 31st
Tempo and mode of evolutionary change
9:00 – 10:30: Evolutionary rates: estimation and tests
11:00 – 12:30: Models of phenotypic evolution
14:30 – 17:30: PRACTICALS

Thursday 1st
Miscellanea
9:00 – 10:30: Modelling lineage diversification
11:00 – 12:30: Future perspectives: multivariate extensions to PCMs
14:30 – 17:30: PRACTICALS

Email oliverhoo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatsistics.com (Behaviour and cognition) 


1.  October 1st – 5th 
TIME SERIES MODELS FOR ECOLOGISTS (TSME02)
Glasgow, Dr Andrew Parnell
https://www.prstatistics.com/course/time-series-models-foe-ecologists-
tsme02/

2.  October 1st – 5th 2018
INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL03)
Glasgow, Scotland, Dr. Martin Jones
https://www.prinformatics.com/course/introduction-to-linux-workflows-for-
biologists-ibul03/

3.  October 8th – 12th 2018
INTRODUCTION TO FREQUENTIST AND BAYESIAN MIXED (HIERARCHICAL) MODELS 
(IFBM01)
Glasgow, Scotland, Dr Andrew Parnell
https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-
mixed-models-ifbm01/

4.  October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04)
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

5.  October 23rd – 25th 2018
INTRODUCTIUON TO R (This is a private ‘in-house’ course)
London, England, Dr William Hoppitt

6.  October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb02/

7.  October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

8.  November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

9.  November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
https://www.prstatistics.com/course/structural-equation-modelling-for-

[ECOLOG-L] Applied Bayesian modelling for ecologists and epidemiologists

[Oliver Hooker]

Applied Bayesian modelling for ecologists and epidemiologists (ABME04)

This course will be delivered by Matt Denwood in Glasgow City Centre from 
15th - 19th October 2018.

https://www.prstatistics.com/course/applied-bayesian-modelling-for-
ecologists-and-epidemiologists-abme04/

Please feel free to share anywahere you see fit.

Course Overview:
This application-driven course will provide a founding in the basic theory 
& practice of Bayesian statistics, with a focus on MCMC modeling for 
ecological & epidemiological problems. Starting from a refresher on 
probability & likelihood, the course will take students all the way to 
cutting-edge applications such as state-space population modelling & 
spatial point-process modelling. By the end of the week, you should have a 
basic understanding of how common MCMC samplers work and how to program 
them, and have practical experience with the BUGS language for common 
ecological and epidemiological models. The experience gained will be a 
sufficient foundation enabling you to understand current papers using 
Bayesian methods, carry out simple Bayesian analyses on your own data and 
springboard into more elaborate applications such as dynamical, spatial and 
hierarchical modelling.

Intended Audience
Research postgraduates, practicing academics and primary investigators in 
ecology and epidemiology and professionals in government and industry.

Monday 15th – Classes from 09:00 to 17:00
Module 1: Revision of likelihoods using full likelihood profiles and an 
introduction to the theory of Bayesian statistics. Probability and 
likelihood. Conditional, joint and total probability, independence, Baye’s 
law. Probability distributions. Uniform, Bernoulli, Binomial, Poisson, 
Gamma, Beta and Normal distributions – their range, parameters and common 
uses of Likelihood and parameter estimation by maximum likelihood. 
Numerical likelihood profiles and maximum likelihood. Introduction to 
Bayesian statistics.

Relationship between prior, likelihood & posterior distributions. 
Summarising a posterior distribution; The philosophical differences between 
frequentist & Bayesian statistics, & the practical implications of these.
Applying Bayes’ theorem to discrete & continuous data for common data types 
given different priors. Building a posterior profile for a given dataset, & 
compare the effect of different priors for the same data.
Tuesday 16th – Classes from 09:00 to 17:00

Module 2: An introduction to the workings of MCMC, and the potential 
dangers of MCMC inference.  Participants will program their own (basic) 
MCMC sampler to illustrate the concepts and fully understand the strengths 
and weaknesses of the general approach.  The day will end with an 
introduction to the bugs language.

Introduction to MCMC. The curse of dimensionality & the advantages of MCMC 
sampling to determine a posterior distribution. Monte Carlo integration, 
standard error, & summarising samples from posterior distributions in R. 
Writing a Metropolis algorithm & generating a posterior distribution for a 
simple problem using MCMC.

Markov chains, autocorrelation & convergence. Definition of a Markov chain. 
Autocorrelation, effective sample size and Monte Carlo error. The concept 
of a stationary distribution and burnin. Requirement for convergence 
diagnostics, and common statistics for assessing convergence. Adapting an 
existing Metropolis algorithm to use two chains, & assessing the effect of 
the sampling distribution on the autocorrelation. Introduction to BUGS  
running simple models in JAGS. Introduction to the BUGS language & how a 
BUGS model is translated to an MCMC sampler during compilation. The 
difference between deterministic & stochastic nodes, & the contribution of 
priors & the likelihood. Running, extending & interpreting the output of 
simple JAGS models from within R using the runjags interface.

Wednesday 17th – Classes from 09:00 to 17:00
Module 3: Common models for which jags/bugs would be used in practice, with 
examples given for different types of model code.  All aspects of writing, 
running, assessing and interpreting these models will be extensively 
discussed so that participants are able and confident to run similar models 
on their own. There will be a particularly heavy focus on practical 
sessions during this day.  The day will finish with a discussion of how to 
assess the fit of mcmc models using the deviance information criterion 
(dic) and other methods. Using JAGS for common problems in biology. 
Understanding and generating code for basic generalised linear mixed models 
in JAGS. Syntax for quadratic terms and interaction terms in JAGS.

Essential fitting tips and model selection. The need for minimal cross-
correlation and independence between parameters and how to design a model 
with these properties. The practical methods and implications of minimizing 
Monte Carlo error and autocorrelation, including thinning. Interpreting the 
DIC for nested 

[ECOLOG-L] Introduction to Frequentist and Bayesian mixed (Hierarchical) models (IFBM01)

[Oliver Hooker]

General intro course on Frequentist and Bayesian mixed (Hierarchical) 
models (IFBM01)

https://www.prstatistics.com/course/introduction-to-frequentist-and-
bayesian-mixed-hierarchical-modelsiifbm01/

Final, few places available.

This course will take place from the 8th - 12th October 2018 in Glasgow 
city centre using a varied range of examples from life-sciences 

Course Overview:
This course will cover introductory mixed or hierarchical modelling (fixed 
and random effects models) for real-world data sets from both a Frequentist 
and Bayesian perspective. These methods lie at the forefront of statistics 
research and are a vital tool in the scientist’s toolbox. The course 
focuses on introducing concepts and demonstrating good practice in mixed 
modelling. All methods are demonstrated with data sets which participants 
can run themselves. Participants will be taught how to fit hierarchical 
models using both the standard lme4 mixed effects models library in R, 
together with the Bayesian modelling framework via rstanarm. The course 
covers the full gamut from simple regression models through to full 
generalised multivariate mixed structures. The relevant advantages and 
disadvantages of both the Frequentist and Bayesian approaches will be 
presented.. Participants are encouraged to bring their own data sets for 
discussion with the course tutors.

Monday 8th – Classes from 09:30 to 17:30
Basic concepts
Class 1: Introduction; some example datasets; overview of course
Class 2: Revision: probability distributions and likelihood
Class 3: Maximum likelihood and bootstrap uncertainties
Practical: revision on using R to load data, create plots and fit 
statistical models.

Tuesday 9th – Classes from 09:30 to 17:30
Intro to mixed models
Class 1: Linear and generalised linear models (GLMs)
Class 2: Simple mixed regression models
Class 3: Generalised Linear Mixed Models (GLMMs)
Practical: introduction to lme4

Wednesday 10th – Classes from 09:00 to 17:00
Bayesian hierarchical models
Class 1: Introduction to Bayesian inference
Class 2: Bayesian computation and Markov chain Monte Carlo
Class 3: Bayesian Hierarchical Models (BHMs)
Practical: Introduction to rstanarm

Thursday 11th – Classes from 09:00 to 17:00
Extending mixed models
Class 1: Multivariate and multi-layer hierarchical models
Class 2: Shrinkage and variable selection
Class 3: Non-Linear mixed models

Friday 12th – Classes from 09:30 to 16:00
Advanced topics and bring your own data
Class 1: Extending Bayesian models
Class 2: Using stan (instead of rstanarm) for richer inference
Practical: analyse and get help with your data.

Email oliverhoo...@psstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatsistics.com (Behaviour and cognition) 


1.  October 1st – 5th 
TIME SERIES MODELS FOR ECOLOGISTS (TSME02)
Glasgow, Dr Andrew Parnell
https://www.prstatistics.com/course/time-series-models-foe-ecologists-
tsme02/

2.  October 1st – 5th 2018
INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL03)
Glasgow, Scotland, Dr. Martin Jones
https://www.prinformatics.com/course/introduction-to-linux-workflows-for-
biologists-ibul03/

3.  October 8th – 12th 2018
INTRODUCTION TO FREQUENTIST AND BAYESIAN MIXED (HIERARCHICAL) MODELS 
(IFBM01)
Glasgow, Scotland, Dr Andrew Parnell
https://www.psstatistics.com/course/introduction-to-frequentis-and-bayesian-
mixed-models-ifbm01/

4.  October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME04)
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

5.  October 23rd – 25th 2018
INTRODUCTIUON TO R (This is a private ‘in-house’ course)
London, England, Dr William Hoppitt

6.  October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb02/

7.  October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

8.  November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

9.  November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr02/

[ECOLOG-L] Time series analysis for ecologists - last few places

[Oliver Hooker]

, Dr. Jonathan Lefcheck
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr02/

11.November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION 
(FEER01)
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

12.December 3rd – 7th 2018
INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES 
USING R AND STAN (BDRS01)
Glasgow, Dr. Mark Andrews
https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-
for-social-and-behavioural-sciences-using-r-and-stan-bdrs01/

13.January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

14.January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr08/

15.January 28th–  February 1st 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

16.4th – 8th February 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01)
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

17.February 11th – 15th 2019
REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-
population-genetics-rdpg02/

18.25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

19.March 4th – 8th 2019
BIOACUSTIC DATA ANALYSIS
Glasgow, Scotland, Dr. Paul Howden-Leach
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-
survey-design-and-data-analysis-biac01/

20.March 18th – 22nd 2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr03/

21.March 25th – 29th 2019
LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

22.A pril 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy02/

23.April 8th – 12th
MACHINE LEARNING
Glasgow Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/machine-learning-using-r-mlur01/

-- 
Oliver Hooker PhD.
PR statistics

2018 publications -

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

[ECOLOG-L] Intrduction to R for bioloigsts

[Oliver Hooker]

 ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

16.4th – 8th February 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01)
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

17.February 11th – 15th 2019
REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-
population-genetics-rdpg02/

18.25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

19.March 4th – 8th 2019
BIOACUSTIC DATA ANALYSIS
Glasgow, Scotland, Dr. Paul Howden-Leach
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-
survey-design-and-data-analysis-biac01/

20.March 18th – 22nd 2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr03/

21.March 25th – 29th 2019
LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

22.A pril 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy02/

23.April 8th – 12th
MACHINE LEARNING
Glasgow Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/machine-learning-using-r-mlur01/

-- 
Oliver Hooker PhD.
PR statistics

2018 publications -

Alternative routes to piscivory: Contrasting growth trajectories in brown 
trout (Salmo trutta) ecotypes exhibiting contrasting life history 
strategies. Ecology of Freshwater Fish. DOI to follow

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

[ECOLOG-L] Eukaryotic metabarcoding (EUKB01) Deadline 13.07.18

[Oliver Hooker]

https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

13.January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr08/

14.28th January – 1st February 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

15.4th – 8th February 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01)
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

16.February 11th – 15th 2019
REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-
population-genetics-rdpg02/

17.25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

18.March 4th – 8th 2019
BIOACUSTIC DATA ANALYSIS
Glasgow, Scotland, Dr. Paul Howden-Leach
LiNk coming soon

19.March 18th – 22nd 2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr03/

20.March 25th – 29th 2019
LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

21.April 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy02/



-- 
Oliver Hooker PhD.
PR statistics

2018 publications -

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Introduction to Frequentist and Bayesian mixed (Hierarchical) models - Oct 2019

[Oliver Hooker]

 staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

15.4th – 8th February 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01)
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

16.February 11th – 15th 2019
REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-
population-genetics-rdpg02/

17.25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

18.March 4th – 8th 2019
BIOACUSTIC DATA ANALYSIS
Glasgow, Scotland, Dr. Paul Howden-Leach
LiNk coming soon

19.March 18th – 22nd 2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr03/

20.March 25th – 29th 2019
LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

21.April 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy02/



-- 
Oliver Hooker PhD.
PR statistics

2018 publications -

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Course on population genetics - Feb 2019 - Thibaut Jombart and Zhian Kamvar

[Oliver Hooker]

 FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

13.January 21st – 25th 2019
ADVANCING IN STATISTICAL MODELLING USING R (ADVR08)
Glasgow, Scotland, Dr. Luc Bussiere, Dr. Tom Houslay
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr08/

14.28th January – 1st February 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

15.4th – 8th February 2019
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01)
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

16.February 11th – 15th 2019
REPRODUCIBLE DATA SCIEDNCE FOR POPULATION GENETICS
Glasgow, Scotland, Dr. Thibaut Jombart, Dr. Zhain Kamvar
https://www.prstatistics.com/course/reproducible-data-science-for-
population-genetics-rdpg02/

17.25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

18.March 4th – 8th 2019
BIOACUSTIC DATA ANALYSIS
Glasgow, Scotland, Dr. Paul Howden-Leach
LiNk coming soon

19.March 18th – 22nd 2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr03/

20.March 25th – 29th 2019
LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

21.April 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy02/



-- 
Oliver Hooker PhD.
PR statistics

2018 publications -

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Statistical modelling of time-to-event data using survival analysis: an introduction for animal behaviourists, ecologists and evolutionary biologists (TTED01)

[Oliver Hooker]

Statistical modelling of time-to-event data using survival analysis: an 
introduction for animal behaviourists, ecologists and evolutionary 
biologists (TTED01)

https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

This course will be delivered by Dr Will Hoppitt in Glasgow and will run 
from the 21st - 25th Jan 2019.

Course Overview:
Survival analysis is a set of statistical methods initially designed to 
analyse data giving the times at which individuals die, and assess the 
effect that different predictor variables have on the rate of death. 
However, its applications are much broader than this: it can be used to 
analyse any time-to-event data. Ecologists and evolutionary biologists 
often encounter data of this kind. Often factors influencing survival 
itself will be of interest. But there are many other cases, e.g. what 
factors influence the time of first breeding? Or the time taken to reach 
maturity? Animal behaviourists too will encounter this type of data 
frequently, e.g. what factors influence the time it takes to learn a novel 
behaviour pattern? Or the time to respond to a stimulus? etc. And yet the 
techniques of survival analysis are not generally well known by researchers 
in these disciplines.
In this course, you will learn how to apply survival analysis models to 
quantify the effect that predictor variables (continuous or discrete) have 
on the rate at which events occur, and how to test hypotheses about these 
effects. We will focus on a flexible modelling technique called the Cox 
proportional hazards model, which makes minimal assumptions about the 
underlying probability distributions. You will learn how to fit and 
interpret these models, how to evaluate its assumptions, and how to extend 
it to model time dependent variables, random effects, multistate models and 
competing risks models.

Monday 21st – Classes from 09:30 to 17:30
Module 1: Statistical modelling of rates and times
Module 2: Parametric survival models and the Cox model
Tuesday 22nd – Classes from 09:30 to 17:30
Module 3: Fitting Cox models
Module 4: Interpreting Cox Models
Wednesday 23rd – Classes from 09:30 to 17:30
Module 5: Evaluating the proportional hazard assumption
Module 6: Stratified Cox models
Thursday 24th – Classes from 09:30 to 17:30
Module 7: Time dependent variables
Module 8: Frailty Models and Multistate models
Friday 25th – Classes from 09:30 to 17:30
Module 9: Competing risks models
Module 10: Open session

Email oliverhoo...@psstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatsistics.com (Behaviour and cognition) 
 
 
 
1.   June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/
 
2.   June 25th – 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie (PROTEUS)
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/
 
3.   July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof. James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/
 
4.   July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof. David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/
 
5.   July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/
 
6.   September 24th – 28th 
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR LIFE SCIENCES USING R 
(IMLS01) 
Glasgow, Scotland, Prof. Subhash Lele
https://www.psstatistics.com/course/introduction-to-mixed-hierarchical-
models-for-life-sciences-using-r-imls01/
 
7.   October 1st – 5th 
INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL03)
Glasgow, Scotland, Dr. Martin Jones
https://www.prinformatics.com/course/introduction-to-linux-workflows-for-
biologists-ibul03/
 
8.   October 8th – 12th 2018
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISAE01)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-
ecological-data-using-r-isae01/
 
9.   October 8th – 12th 2018
INDIVIDUAL BASED MODELS USING NETLOGO AND R
Glasgow, Scotland, Dr. Andrew Jackson
Link to follow
 
10.October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/
 
11.October 29th – November 2nd 2018

[ECOLOG-L] Landscape genetic/genomic data analysis using R - Prof Rodney Dyer - Feb

[Oliver Hooker]

Landscape genetic/genomic data analysis using R (LNDG03)

https://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03/

This course will be delivered by Prof Rodney Dyer in Glasgow from 25th - 
29th March 2019.

Course Overview:
The term ‘landscape genetics’ has been applied studies that integrate 
ecological context and intervening landscape into population genetic 
analyses of contemporary processes such as gene flow and migration.  This 
course will cover the basics of both quantitative landscape ecology and 
population genetics, focusing on how we develop and evaluate 
spatial/genetic analyses using the R platform.

Monday 25th – Classes from 09:30 to 17:30
Module 1: Spatial & Ecological Data.
Installation & configuring R & RStudio
Acquiring spatial data, projections, and visualization
Vector and raster data

Tuesday 26th – Classes from 09:30 to 17:30
Module 2: Genetic markers and basic analyses
Genetic markers and sampling
Genetic distance, diversity, and structure
Ordination techniques based upon genetic markers

Wednesday 27th – Classes from 09:30 to 17:30
Module 3: Integrating spatial and genetic data
Barrier detection & population division
Resistance Modeling
Mantel and distance regressions
Remote sensing – LiDAR and Hyperspectral data

Thursday 28th – Classes from 09:00 to 17:00
Module 4: Integrating spatial and genetic data
Spatial autocorrelation
Network Approaches
PCMN & Redundancy

Friday 29th – Classes from 09:30 to 16:00
Module 5: Adaptive Genetic Variance
Outliers & gradients
Quantitative genetics, why we should care.
Chromosome walking

Email oliverhoo...@prstatistics.com
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatsistics.com (Behaviour and cognition) 


1.  June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

2.  June 25th – 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie (PROTEUS)
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/

3.  July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof. James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

4.  July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof. David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

5.  July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

6.  September 24th – 28th 
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR LIFE SCIENCES USING R 
(IMLS01) 
Glasgow, Scotland, Prof. Subhash Lele
https://www.psstatistics.com/course/introduction-to-mixed-hierarchical-
models-for-life-sciences-using-r-imls01/

7.  October 1st – 5th 
INTRODUCTION TO LINUX WORKFLOWS FOR BIOLOGISTS (IBUL03)
Glasgow, Scotland, Dr. Martin Jones
https://www.prinformatics.com/course/introduction-to-linux-workflows-for-
biologists-ibul03/

8.  October 8th – 12th 2018
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISAE01)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-
ecological-data-using-r-isae01/

9.  October 8th – 12th 2018
INDIVIDUAL BASED MODELS USING NETLOGO AND R
Glasgow, Scotland, Dr. Andrew Jackson
Link to follow

10. October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

11. October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
Link to follow – see previous 
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb01/

12. October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

13. November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

14. November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY 

[ECOLOG-L] Movement ecology (MOVE02) - Repeat scheduled for February 2019

[Oliver Hooker]

www.prstatistics.com/course/introduction-to-spatial-analysis-of-
ecological-data-using-r-isae01/

9.  October 8th – 12th 2018
INDIVIDUAL BASED MODELS USING NETLOGO AND R
Glasgow, Scotland, Dr. Andrew Jackson
Link to follow

10. October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

11. October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
Link to follow – see previous 
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb01/

12. October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

13. November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

14. November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
Link to follow – see previous 
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

15. November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

16. January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

17. 28th January – 1st February 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

18. 4th – 8th February 2018
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

19. 25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

20. March 25th – 29th 2019
LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/c
-- 
Oliver Hooker PhD.
PR statistics

2018 publications - 

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340ourse/landscape-genetic-data-analysis-using-r-lndg03

[ECOLOG-L] new course - Aquatic Acoustic Telemetry Data Analysis (ATDA01)

[Oliver Hooker]

-to-linux-workflows-for-
biologists-ibul03/

8.  October 8th – 12th 2018
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISAE01)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-
ecological-data-using-r-isae01/

9.  October 8th – 12th 2018
INDIVIDUAL BASED MODELS USING NETLOGO AND R
Glasgow, Scotland, Dr. Andrew Jackson
Link to follow

10. October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

11. October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
Link to follow – see previous 
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb01/

12. October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

13. November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

14. November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
Link to follow – see previous 
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

15. November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

16. January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

17. 28th January – 1st February 2019
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
https://www.prstatistics.com/course/aquatic-acoustic-telemetry-data-
analysis-atda01/

18. 4th – 8th February 2018
DESIGNING RELIABLE AND EFFICIENT EXPERIMENTS FOR SOCIAL SCIENCES (DRES01) 
Glasgow, Scotland, Dr. Daniel Lakens
https://www.psstatistics.com/course/designing-reliable-and-effecient-
experiments-for-social-sciences-dres01/

19. 25th February – 1st March 2019
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr. Luca Borger, Prof. Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move02/

20. March 25th – 29th 2019
LANDSCAPE GENETIC/GENOMIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg03


-- 
Oliver Hooker PhD.
PR statistics

2018 publications - 

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Suggestions for assembly and annotation of genomes course instructors?

[Oliver Hooker]

Hi list users,

Another reach out after a great response regarding bio-acoustics.

I was wondering if anyone can suggest or has attended a course on the 
assembly and annotation of genomes that they would recommend?

We have had a few enquiries regarding this so any suggestions 
(recommendations) of possible instructors would be much appreciated.

Thanks in advance,

Oliver

email oliverhoo...@statistics.com

[ECOLOG-L] Model base multivariate analysis of abundance data using R registration deadline 28th June

[Oliver Hooker]

o-clinical-interpretation-pmbi01/

18. November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

19. November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
Link to follow – see previous 
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

20. November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

21. January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

22. February 2018 TBC
MOVEMENT ECOLOGY (MOVE02)
Venue TBC, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts
Link to follow – see previous 
www.prstatistics.com/course/movement-ecology-move01/

23. February 2018 TBC
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
Link to follow

Oliver Hooker PhD.
PR statistics

2018 publications - 

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Species Distribution / Occupancy modelling registration deadline 15th June

[Oliver Hooker]

tt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

15. October 15th – 19th 2018
ANALYSING TIME TO EVENT DATA (SURVIVAL ANALYSIS)
Glasgow, Scotland, Dr. Wil Hoppitt
Link to follow

16. October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
Link to follow – see previous 
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb/

17. October 29th – November 2nd 2018
INTRODUCTION TO BIOINFORMATICS FOR DNA AND RNA SEQUENCE ANALYSIS (IBDR01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

18. November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

19. November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
Link to follow – see previous 
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

20. November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

21. January 21st – 25th 2019
STATISTICAL MODELLING OF TIME-TO-EVENT DATA USING SURVIVAL ANALYSIS: AN 
INTRODUCTION FOR ANIMAL BEHAVIOURISTS, ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS (TTED01)
Glasgow, Scotland, Dr. Will Hoppitt
https://www.psstatistics.com/course/statistical-modelling-of-time-to-event-
data-using-survival-analysis-tted01/

22. February 2018 TBC
MOVEMENT ECOLOGY (MOVE02)
Venue TBC, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts
Link to follow – see previous 
www.prstatistics.com/course/movement-ecology-move01/

23. February 2018 TBC
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
Link to follow

Oliver Hooker PhD.
PR statistics

2018 publications - 

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Online course for Class for Mapping Plants With Drones

[Oliver Hooker]

Phytomappers Pro: A Master Class for Mapping Plants With Drones

https://www.prstatistics.com/course/phytomappers-pro-a-master-class-for-
mapping-plants-with-drones/

https://scholarfarms.teachable.com/p/phytomappers/?affcode=147027_ggwq9qs9

Course Overview:
Phytomappers Pro was created to scale drone education for agricultural and 
other related verticals, such as scientific, forestry, and environmental 
consultancies. This course walks step-by-step through everything you’d need 
to know to get started mapping plants professionally, including: 
• The theory behind vegetation indices, such as NDVI 
• Best-practices for image capture 
• Drone and camera hardware 
• Mission planning software 
• Image processing and data outputs using Pix4D 
• Cloud tools 
• Example datasets

We teach you how to map plants with drones. That’s all we do and we try to 
be the best at it.

Please note this course can be started at any time and is not constrained 
to the dates above

Who is this masterclass for?

Drone Service Providers 
Know what clients expect, how to best capture that data for them, and how 
to present completed mapping data. With this class you can go from having 
never flown for ag before through delivering perfect results for farms and 
commercial agriculture clients. 

Commercial Agriculture
For users in organizations that are involved commercially with plants and 
want to adopt drone technology, we can guide existing programs to better 
results and help teams start from scratch and build effective processes. 

Researchers & Academics
If you want to adopt drone mapping technology into your lab or course and 
aren’t sure where to start or how to get the best results, we present 
comprehensive options and documentation for a variety of use cases. 

Your Instructor
Dr. Gregory Crutsinger
Dr. Crutsinger has a PhD in ecology and was a tenure-track professor as a 
major research university before joining the drone industry. He has worked 
for some of the leading drone hardware and software companies to help 
integrate education, analytics, and the plant sciences.

Full details and booking can be found here:
https://scholarfarms.teachable.com/p/phytomappers/?affcode=147027_ggwq9qs9

[ECOLOG-L] Bioacoustic courses - recommendations?

[Oliver Hooker]

Hi Ecologers,

I was wondering if anyone has attended or knows of any courses out there 
aimed at the field of bioacoustics, collecting, handling and analysing these 
types of data.

You can send any replies to my direct email oliverhoo...@prstsatistics.com so 
as not to overwhelm other list users.

Thanks in advance,

Oliver

[ECOLOG-L] Introduction to bioinformatics for DNA and RNA sequence analysis (IBDR01)

[Oliver Hooker]

 MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie (PROTEUS)
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/

9.  July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof. James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

10. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof. David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

11. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

12. October 1st – 5th 
Introduction to Linux workflows for biologists (IBUL03)
Glasgow, Scotland, Dr. Martin Jones
https://www.prinformatics.com/course/introduction-to-linux-workflows-for-
biologists-ibul03/

13. October 8th – 12th 2018
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISAE01)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-
ecological-data-using-r-isae01/

14. October 8th – 12th 2018
INDIVIDUAL BASED MODELS USING NETLOGO AND R
Glasgow, Scotland, Dr. Andrew Jackson
Link to follow

15. October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

16. October 15th – 19th 2018
ANALYSING TIME TO EVENT DATA (SURVIVAL ANALYSIS)
Glasgow, Scotland, Dr. Wil Hoppitt
Link to follow

17. October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
Link to follow – see previous 
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb/

18. October 29th – November 2nd 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

19. November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

20. November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
Link to follow – see previous 
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

21. November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

22. February 2018 TBC
MOVEMENT ECOLOGY (MOVE02)
Venue TBC, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts
Link to follow – see previous 
www.prstatistics.com/course/movement-ecology-move01/

23. February 2018 TBC
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
Link to follow

Oliver Hooker PhD.
PR informatics

2018 publications - 

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Repeat of - Structural Equation Modelling (SEM) for Ecologists and Evolutionary Biologists

[Oliver Hooker]

 BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

16. October 15th – 19th 2018
ANALYSING TIME TO EVENT DATA (SURVIVAL ANALYSIS)
Glasgow, Scotland, Dr. Wil Hoppitt
Link to follow

17. October 29th – November 2nd 2018
INTRODCUTION TO R AND STATISTICS FOR BIOLOGISTS (IRFB02)
Glasgow, Scotland, Dr. Olivier Gauthier
Link to follow – see previous 
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-
biologists-irfb/

18. October 29th – November 2nd 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

19. November 5th – 8th  2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

20. November 19th – 23rd  2018
STRUCTUAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
(SEMR02)
Glasgow, Scotland, Dr. Jonathan Lefcheck
Link to follow – see previous 
https://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

21. November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

22. February 2018 TBC
MOVEMENT ECOLOGY (MOVE02)
Venue TBC, Dr. Luca Borger, Prof. Ronny Wilson, Dr Jonathan Potts
Link to follow – see previous 
www.prstatistics.com/course/movement-ecology-move01/

23. February 2018 TBC
AQUATIC ACOUSTIC TELEMETRY DATA ANALYSIS AND SURVEY DESIGN
Glasgow, Scotland, VEMCO staff and affiliates
Link to follow

-- 
Oliver Hooker PhD.
PR statistics

2018 publications - 

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Final call for Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR

[Oliver Hooker]

Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM04)

https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-
simm04/

This course will be delivered by Dr Andrew Parnell and Dr Andrew Jackson 
from 28th - 31st May 2018 at Orford Musique, 3165 Chemin du Parc, Orford, 
QC J1X 7A2, Canada

Course overview: 
This course will cover the concepts, technical background and use of stable 
isotope mixing models (SIMMs) with a particular focus on running them in R. 
This course will cover the concepts, technical background and use of stable 
isotope mixing models (SIMMs) with a particular focus on running them in R. 
Recently SIMMs have become a very popular tool for quantifying food webs 
and thus the diet of predators and prey in an ecosystem. Starting with only 
basic understanding of statistical models, we will cover the do’s and 
don’ts of using SIMMs with a particular focus on the widely used package 
SIAR and the more advanced MixSIAR. Participants will be taught some of the 
advanced features of these packages, which will enable them to produce a 
richer class of output, and are encouraged to bring their own data sets and 
problems to study during the round-table discussions.

Sunday 27th
Meet at Orford Musique Between 16:00 and 20:00.
Monday 28th
Basic concepts.
Module 1: Introduction; why use a SIMM?
Module 2: An introduction to bayesian statistics.
Module 3: Differences between regression models and SIMMs.
Practical: Revision on using R to load data, create plots and fit 
statistical models.
Round table discussion: Understanding the output from a Bayesian model.

Tuesday 29th – Classes from 09:00 to 17:00
Understanding and using SIAR.
Module 4: Do’s and Don’ts of using SIAR.
Module 5: The statistical model behind SIAR.
Practical: Using SIAR for real-world data sets; reporting output; creating 
richer summaries and plots.
Round table discussion: Issues when using simple SIMMs.

Wednesday 30th – Classes from 09:00 to 17:00
SIBER and MixSIAR.
Module 6: Creating and understanding Stable Isotope Bayesian Ellipses 
(SIBER).
Module 7: What are the differences between SIAR and MixSIAR?
Practical: Using MixSIAR on real world data sets; benefits over SIAR.
Round table discussion: When to use which type of SIMM.

Thursday 31st – Classes from 09:00 to 17:00
Advanced SIMMs.
Module 8: Using MixSIAR for complex data sets: time series and mixed 
effects models.
Module 9: Source grouping: when and how?
Module 10: Building your own SIMM with JAGS.
Practical: Running advanced SIMMs with JAGS.
Round table discussion: Bring your own data set.

Email oliverheoo...@prsratistics.com

Oliver Hooker PhD.
PR statistics

2018 publications - 

[ECOLOG-L] Registration deadline for Species distribution models using R (Jane Elith and Gurutzeta Guillera)

[Oliver Hooker]

Species distribution models using R (SDMR01)

https://www.prstatistics.com/course/species-distribution-models-using-r-
sdmr01/

Deadline for registration is 21/05/2018

This course will be delivered by Prof. Jane Elith, Dr. Gurutzeta Guillera 
and Jose Square form the 12th - 15th June 2018 at Myuna Bay Sport and 
Recreation, Wangi Road, Myuna Bay, New South Wales 2264 Australia

Course Overview:
The aim of this four-day course is to work towards an understanding of, and 
practical ability to fit, species distribution models (SDMs). It will be 
useful if you plan to use SDMs, or if you just want to understand them 
better. 

We will focus on statistical models of species distributions – those that 
combine observed species records with environmental data. 

Using a mixture of lectures, computer exercises and case studies, 
participants will learn to:
1) identify relevant data, and prepare it for modelling;
2) fit models using several modelling methods (including Maxent, 
generalized linear models and their extensions, and boosted regression 
trees);
3) consider how to model species if detection is imperfect;
4) evaluate models and interpret them;
5) understand the range of practical issues that arise in typical 
applications of SDMs.

Practical sessions will use the free statistical software, R – prior 
experience (even if some practice before you come) will be useful. Example 
data will be provided but participants may also bring their own data.
Presenters include Jane Elith and Gurutzeta Guillera-Arroita, who are 
highly experienced in SDMs.

If you have any questions please email oliverhoo...@prstatistics.com

Monday 11th
Meet at Myuna Bay Sport and |recreation at approx. 18:30

Tuesday 12th – Classes from 09:00 to 17:00
Overview of modelling distributions; niches and theory
The modelling process – key concepts
Predictor variables
Species data
Practical: start working with supplied data
Methods for presence-absence data; introduction to use of regression models 
for species modelling

Wednesday 13th – Classes from 09:00 to 17:00
Generalised linear models (GLMs) and GLMMS
Practical using GLMs with data
How to evaluate models – lecture and practical
Occupancy-detection models – lecture and practical

Thursday 14th – Classes from 09:00 to 17:00
What if no absence data? – introduction to presence-only and background data
Practical: GLM with background data
Relative probabilities, point processes
Maxent – lecture and practical
Evaluation for presence-background models
How to deal with biased data

Friday 15th – Classes from 09:00 to 16:00
Boosted regression trees – lecture and practical
Complexity vs simplicity in models
Using models for extrapolation
Hot topics: where is species modelling heading?

Oliver Hooker PhD.
PR statistics

2018 publications - 

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 
10.1093/biolinnean/bly032

[ECOLOG-L] PARTFUNDED SCHOLARHPS for Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR

[Oliver Hooker]

stralia, Dr. Jon Lefcheck
www.prstatistics.com/course/structural-equation-modelling-for-ecologists-
and-evolutionary-biologists-semr02/

11. June 25th – 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/

12. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

13. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

14. July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

15. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

16. October 8th – 12th 2018
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISAE01)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-
ecological-data-using-r-isae01/

17. October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

18. October 29th – November 2nd 2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Prof. Subhash Lele
Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

19. November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

20. February 2018 TBC
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
www.prstatistics.com/course/movement-ecology-move01/

Oliver Hooker PhD.
PR statistics

2018 publications - 

Phenotypic and resource use partitioning amongst sympatric lacustrine brown 
trout, Salmo trutta. Biological Jouranl of the Linnean Society. DOI 
10.1093/biolinnean/bly032

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Applied Bayesian modelling for ecologists and epidemiologists

[Oliver Hooker]

Applied Bayesian modelling for ecologists and epidemiologists (ABME04)

https://www.prstatistics.com/course/applied-bayesian-modelling-for-
ecologists-and-epidemiologists-abme04/

This course will run from the 15th - 19th October 2018 in Glasgow city 
centre and will be delivered by Dr Matt Denwood.

Course Overview:
This application-driven course will provide a founding in the basic theory 
& practice of Bayesian statistics, with a focus on MCMC modeling for 
ecological & epidemiological problems. Starting from a refresher on 
probability & likelihood, the course will take students all the way to 
cutting-edge applications such as state-space population modelling & 
spatial point-process modelling. By the end of the week, you should have a 
basic understanding of how common MCMC samplers work and how to program 
them, and have practical experience with the BUGS language for common 
ecological and epidemiological models. The experience gained will be a 
sufficient foundation enabling you to understand current papers using 
Bayesian methods, carry out simple Bayesian analyses on your own data and 
springboard into more elaborate applications such as dynamical, spatial and 
hierarchical modelling.

Monday 15th
Module 1: Revision of likelihoods using full likelihood profiles and an 
introduction to the theory of Bayesian statistics. Probability and 
likelihood. Conditional, joint and total probability, independence, Baye’s 
law. Probability distributions. Uniform, Bernoulli, Binomial, Poisson, 
Gamma, Beta and Normal distributions – their range, parameters and common 
uses of Likelihood and parameter estimation by maximum likelihood. 
Numerical likelihood profiles and maximum likelihood. Introduction to 

Bayesian statistics.
Relationship between prior, likelihood & posterior distributions. 
Summarising a posterior distribution; The philosophical differences between 
frequentist & Bayesian statistics, & the practical implications of these.
Applying Bayes’ theorem to discrete & continuous data for common data types 
given different priors. Building a posterior profile for a given dataset, & 
compare the effect of different priors for the same data.

Tuesday 16th
Module 2: An introduction to the workings of MCMC, and the potential 
dangers of MCMC inference.  Participants will program their own (basic) 
MCMC sampler to illustrate the concepts and fully understand the strengths 
and weaknesses of the general approach.  The day will end with an 
introduction to the bugs language.

Introduction to MCMC. The curse of dimensionality & the advantages of MCMC 
sampling to determine a posterior distribution. Monte Carlo integration, 
standard error, & summarising samples from posterior distributions in R. 
Writing a Metropolis algorithm & generating a posterior distribution for a 
simple problem using MCMC.

Markov chains, autocorrelation & convergence. Definition of a Markov chain. 
Autocorrelation, effective sample size and Monte Carlo error. The concept 
of a stationary distribution and burnin. Requirement for convergence 
diagnostics, and common statistics for assessing convergence. Adapting an 
existing Metropolis algorithm to use two chains, & assessing the effect of 
the sampling distribution on the autocorrelation. Introduction to BUGS  
running simple models in JAGS. Introduction to the BUGS language & how a 
BUGS model is translated to an MCMC sampler during compilation. The 
difference between deterministic & stochastic nodes, & the contribution of 
priors & the likelihood. Running, extending & interpreting the output of 
simple JAGS models from within R using the runjags interface.

Wednesday 17th
Module 3: Common models for which jags/bugs would be used in practice, with 
examples given for different types of model code.  All aspects of writing, 
running, assessing and interpreting these models will be extensively 
discussed so that participants are able and confident to run similar models 
on their own. There will be a particularly heavy focus on practical 
sessions during this day.  The day will finish with a discussion of how to 
assess the fit of mcmc models using the deviance information criterion 
(dic) and other methods. Using JAGS for common problems in biology. 
Understanding and generating code for basic generalised linear mixed models 
in JAGS. Syntax for quadratic terms and interaction terms in JAGS.
Essential fitting tips and model selection. The need for minimal cross-
correlation and independence between parameters and how to design a model 
with these properties. The practical methods and implications of minimizing 
Monte Carlo error and autocorrelation, including thinning. Interpreting the 
DIC for nested models, and understanding the limitations of how this is 
calculated. Other methods of model selection and where these might be more 
useful than DIC. Most commonly used methods Rationale and use for fixed 
threshold, ABGD, K/theta, PTP, GMYC with computer practicals. Other 
methods, 

[ECOLOG-L] Introduction to Linux workflows for biologists (IBUL03)

[Oliver Hooker]

Introduction to Linux workflows for biologists (IBUL03)

https://www.prinformatics.com/course/introduction-to-linux-workflows-for-
biologists-ibul03/

This course will run from October 1st -5th October 2018 in Glasgow city 
centre and will be delivered by Dr Martin Jones.

Course Overview:
Most high-throughput bioinformatics work these days takes place on the 
Linux command line. The programs which do the majority of the computational 
heavy lifting — genome assemblers, read mappers, and annotation tools — are 
designed to work best when used with a command-line interface. Because the 
command line can be an intimidating environment, many biologists learn the 
bare minimum needed to get their analysis tools working. This means that 
they miss out on the power of Linux to customize their environment and 
automate many parts of the bioinformatics workflow. This course will 
introduce the Linux command line environment from scratch and teach 
students how to make the most of its tools to achieve a high level of 
productivity when working with biological data.

Monday 1st
Module 1: The design of Linux.
In the first session we briefly cover the design of Linux: how is it 
different from Windows/OSX and how is it best used? We’ll then jump 
straight onto the command line and learn about the layout of the Linux file 
system and how to navigate it. We’ll describe Linux’s file permission 
system (which often trips up beginners), how paths work, and how we 
actually run programs on the command line. We’ll learn a few tricks for 
using the command line more efficiently, and how to deal with programs that 
are misbehaving. We’ll finish this session by looking at the built in help 
system and how to read and interpret manual pages.

Module 2: System management.
We’ll first look at a few command line tools for monitoring the status of 
the system and keeping track of what’s happening to processor power, 
memory, and disk space. We’ll go over the process of installing new 
software from the built in repositories (which is easy) and from source 
code downloads (which is trickier). We’ll also introduce some tools for 
benchmarking software (measuring the time/memory requirements of processing 
large datasets).

Tuesday 2nd
Module 3: Manipulating tabular data.
Many data types we want to work with in bioinformatics are stored as 
tabular plain text files, and here we learn all about manipulating tabular 
data on the command line. We’ll start with simple things like extracting 
columns, filtering and sorting, searching for text before moving on to more 
complex tasks like searching for duplicated values, summarizing large 
files, and combining simple tools into long commands.

Module 4: Constructing pipelines.
In this session we will look at the various tools Linux has for 
constructing pipelines out of individual commands. Aliases, shell 
redirection, pipes, and shell scripting will all be introduced here. We’ll 
also look at a couple of specific tools to help with running tools on 
multiple processors, and for monitoring the progress of long running tasks.
Wednesday 3rd – Classes from 09:00 to 17:00

Module 5: EMBOSS.
EMBOSS is a suite of bioinformatics command-line tools explicitly designed 
to work in the Linux paradigm. We’ll get an overview of the different 
sequence data formats that we might expect to work with, and put what we 
learned about shell scripting to biological use by building a pipeline to 
compare codon usage across two collections of DNA sequences.

Module 6: – Using a Linux server.
Often in bioinformatics we’ll be working on a Linux server rather than our 
own computer— typically because we need access to more computing power, or 
to specialized tools and datasets. In this session we’ll learn how to 
connect to a Linux server and how to manage sessions. We’ll also consider 
the various ways of moving data to and from a server from your own 
computer, and finish with a discussion of the considerations we have to 
make when working on a shared computer.

Thursday 4th
Module 7: Combining methods.
In the next two sessions — i.e. one full day — we’ll put everything we have 
learned together and implement a workflow for next-gen sequence analysis. 
In this first session we’ll carry out quality control on some paired-end 
Illumina data and map these reads to a reference genome. We’ll then look at 
various approaches to automating this pipeline, allowing us to quickly do 
the same for a second dataset.

Module 8: Combining methods.
The second part of the next-gen workflow is to call variants to identify 
SNPs between our two samples and the reference genome. We’ll look at the 
VCF file format and figure out how to filter SNPs for read coverage and 
quality. By counting the number of SNPs between each sample and the 
reference we will try to figure out something about the biology of the two 
samples. We’ll attempt to automate this analysis in various ways so that we 
could easily repeat the pipeline for 

[ECOLOG-L] Part funded SCHOLARSHIP Introduction to Mixed (Hierarchical) models for biologists using R

[Oliver Hooker]

PR STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME 
THEY CAN OFFER 5 PART-FUNDED SCHOLARSHIPS FOR OUR UP-COMING COURSE

"Introduction to Mixed (Hierarchical) models for biologists using R 
(IMBR01)"

This course will run from 14TH - 18TH May 2018 at Orford Musique, 3165 
Chemin du Parc, Orford, QC J1X 7A2, Canada

Please note the venue is easily reached by shuttle direct form the airport

SCHOLARSHIPS CONTRIBUTE TOWARDS TUITION FEES WITH 5 PLACES’ AVAILABLE AT 
£225.00 (Fees have been subsidised by 50% from £550.00).

Accommodation packages can be added for an additional £300.00 for the week 
including all meals etc. at the course venue (highly recommended)

Applications should be sent to oliverhoo...@prstatistics.com and contain 
the following.
1. Full name
2. Institute name
3. PhD subject title or Post doc research questions
4. Do you hold a funded position
5. 150 words why this course would be relevant to your research or how it 
would help.

Application deadline is Monday 16th April 2018

We still have ‘normal’ places available for anyone else interested.

Full course details are given below

https://www.prstatistics.com/course/introduction-to-mixed-hierarchical-
models-for-biologists-using-r-imbr01/

[ECOLOG-L] Part funded SCHOLARSHIPS for Advances in Spatial Analysis of Multivariate Ecological Data

[Oliver Hooker]

PR STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME 
THEY CAN OFFER 5 PART-FUNDED SCHOLARSHIPS FOR OUR UP-COMING COURSE

"Advances in Spatial Analysis of Multivariate Ecological Data: Theory and 
Practice (MVSP03)"

This course will run from 7TH - 11TH May 2018 at Orford Musique, 3165 
Chemin du Parc, Orford, QC J1X 7A2, Canada

Please note the venue is easily reached by shuttle direct form the airport

SCHOLARSHIPS CONTRIBUTE TOWARDS TUITION FEES WITH 5 PLACES’ AVAILABLE AT 
£300.00 (Fees have been subsidised by 50% from £600.00).

Accommodation packages can be added for an additional £300.00 for the week 
including all meals etc. at the course venue (highly recommended)

Applications should be sent to oliverhoo...@prstatistics.com and contain 
the following.
1. Full name
2. Institute name
3. PhD subject title or Post doc research questions
4. Do you hold a funded position
5. 150 words why this course would be relevant to your research or how it 
would help.

Application deadline is Monday 16th April 2018

We still have ‘normal’ places available for anyone else interested.

Full course details are given below

https://www.prstatistics.com/course/advances-in-spatial-analysis-of-
multivariate-ecological-data-theory-and-practice-mvsp03/

[ECOLOG-L] pecies distribution/occupancy modelling using PRESENCE and R

[Oliver Hooker]

Species distribution/occupancy modelling using PRESENCE and R (OCCU01)

Full details can be found here;
http://bit.ly/2EwtvlpSPECIES_DIST_MOD

This course will run form 25th - 29th June 2018 in Glasgow City Centre and 
will be delivered by Darryl MacKenzie

http://bit.ly/2EwtvlpSPECIES_DIST_MOD

Course Overview:
The presence or absence of a species across a set of landscape units is a 
fundamental concept widely used in ecology (e.g., species range or 
distribution, epidemiology, habitat modeling, resource selection 
probability functions, as a monitoring metric, metapopulation studies, 
biodiversity and species co-occurrence). An important sampling issue, 
however, is that a species may not always be detected when present at a 
landscape unit. This will result in “false absences” causing parameter 
estimates to be biased if unaccounted for, possibly leading to misleading 
results and conclusions, even with moderate levels of imperfect detection.
This workshop will cover many of the latest methods for modeling patterns 
and dynamics of species occurrence in a landscape while accounting for the 
imperfect detection of the species.

Including:
• estimating level of occurrence at single point in time
• identifying factors that influence species occurrence
• creating species distribution maps
• modelling changes in distribution over time
• study design

Participants will be introduced to available software through worked 
examples, and there will be special emphasis on aspects of study design. 
While primarily aimed at the beginner and intermediate level, more 
experienced researchers will also benefit from attending.
The first four days will comprise of formal lectures and exercises, and the 
final morning will be an informal discussion/consulting session where 
participants can work on their own data, talk one-on-one with the 
instructor, etc.

Email oliverhoo...@prstatistics.com with any questions

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatsistics.com (Behaviour and cognition) 


1.  April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

2.  April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

3.  April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-
in-r-with-the-vegan-package-vgnr01/

4.  April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/

5.  May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R (MVSP02)
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-
ecological-data-theory-and-practice-mvsp03/
6.  May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)
CANADA (QUEBEC), Prof Subhash Lele 
www.prstatistics.com/course/introduction-to-mixed-hierarchical-models-for-
biologists-using-r-imbr01/

7.  May 21st - 25th 2018
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB05)
SCENE, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb05/

8.  May 21st - 25th 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS (IRMS01)
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-
ecological-applications-irms01/

9.  May 28th – 31st 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

10. May 28th – June 1st 2018
ADVANCED PYTHON FOR BIOLOGISTS (APYB02)
SCENE, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb02/

11. June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

12. June 18th – 22nd 2018
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R (SEMR02)
Myuna Bay sport and recreation, Australia, Dr. Jon Lefcheck

[ECOLOG-L] Social Network Analysis for Behavioural Scientists using R

[Oliver Hooker]

Social Network Analysis for Behavioural Scientists using R (SNAR01)

Full details can be found at;
http://bit.ly/2DEVnDlSOCIAL_NETWORK_ANALYSIS

This course will take place in Glasgow city entre for 2nd - 6th July 2018 
and will be delivered by Prof. James Curley.

Course Overview:
This workshop will provide students with the opportunity to learn how to 
use social network analysis to analyze social relational datasets such as 
human friendship networks or animal social networks. Attendees will learn 
how to use R and several R packages including igraph, sna, network, asnipe, 
timeordered, tsna to create network graphs, calculate descriptive network 
metrics, use randomization and random models to evaluate the significance 
of these metrics, determine graph structural properties including community 
structures, use QAP and MRQAP methods to assess how network characteristics 
relate to other individual and relational attributes, and measure change 
over time in dynamic networks. Attendees will also learn how to produce 
high quality network visualizations using R.

Monday 2nd
Elementary concepts.
Module 1: Introduction to Social Networks Theory. This will cover central 
themes of social network analysis: the major data formats, structures and 
collection methods, the different types of graphs and networks; how to 
generate and visualize social networks and generate basic descriptive 
statistics, and what hypotheses and questions can be addressed using social 
network analysis. We will also discuss data types and questions of interest 
to attendees.

Module 2: R refresher and R packages. This module will provide a quick 
overview of the major packages used for social network analysis in R 
including ‘igraph’, ‘sna’, ‘network’. We shall learn how to convert raw 
data formats to network objects in R; how to interface with R network 
objects and how to create simple network visualizations.
Module 3: Intro to Visualizing Networks. We shall cover how to generate and 
beautify networks using the ‘igraph’ R package covering issues such as 
layout decisions, coloring and sizing of nodes and edges by network 
attributes, metrics or community. We shall extend this to cover how to 
create dynamic three-dimentional network plots using the R 
package ‘threejs’. We shall also discuss how to use the ‘ggplot’ 
based ‘ggraph’ R package which has many customizable features for plotting 
networks.

Tuesday 3rd
Basic analyses.
Module 4: Identifying important nodes and edges. Learn how to evaluate key 
indicators of each node’s significance to the network including, degree 
centrality, eigenvector centrality, power centrality, and betweenness. 
Describe how to calculate for directed vs. undirected and weighted vs 
unweighted networks. Learn how to assess simple relationships between nodes 
including geodesic distances, identifying neighbors, determining shortest 
and longest paths.

Module 5: Introduction to Network Randomization and Random Models. It is 
critical in network analysis to evaluate how likely it is to observe a 
given network metric for our network of interest. This module will 
introduce how to use null models (randomizations/permutations or random 
graphs) to test whether networks have characteristics that are especially 
surprising after accounting for non-independence. We also will learn how to 
generate confidence intervals for network metrics and carry out 
significance testing. We shall learn how to use the ‘igraph’ package for 
random graph generation.

Module 6: Network Graph Characteristics. We shall cover concepts such as 
dyad and triad censuses, transitivity, assortativity, homophily, 
reciprocity, clustering and density. We shall discuss their significance 
and importance for answering relevant questions to the patterns of social 
associations and behavior in networks.

Wednesday 4th
Extending Network Analysis.
Module 7: Community Detection. Overview of what communities (modules) mean 
for animal and human social networks – that a high proportion of nodes or 
edge weights cluster within a sub-group of nodes/edges rather than between 
sub-groups. We shall review the numerous community detection methods and 
describe the implementation of major ones in R. How to generate robustness 
in evaluation of community detection. How to to determine the degree of 
community structure in a network using the index of modularity (Q) and 
bootstrapping techniques such as community assortativity (rcom). 
Hierarchical clustering for analysis of hierarchically organized social 
societies.

Module 8: Randomizations and Random models II. This module will further 
explore how to determine the appropriate choice of null models for 
behavioral data. This is not always a trivial exercise for behavioral 
datasets. We will use the ‘asnipe’ R package for network permutation 
and ‘igraph’ R package for null model generation. We shall also cover 
options for dealing with missing data, low sampling rates and pseudo-
replication, 

[ECOLOG-L] CANADA - Introduction to Mixed (Hierarchical) models for biologists using R

[Oliver Hooker]

 David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

17.July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

18.July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

19.October 8th – 12th 2018
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISAE01)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-
ecological-data-using-r-isae01/

20.October 15th – 19th 2018
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (ABME
Glasgow, Scotland, Dr. Matt Denwood, Emma Howard
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme04/

21.October 29th – November 2nd 2018
PHYLOGENETIC COMPARATIVE METHODS FOR STUDYING DIVERSIFICATION AND 
PHENOTYPIC EVOLUTION (PCME01)
Glasgow, Scotland, Prof. Subhash Lele
Dr. Antigoni Kaliontzopoulou
https://www.prstatistics.com/course/phylogenetic-comparative-methods-for-
studying-diversification-and-phenotypic-evolution-pcme01/

22.November 26th – 30th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION (FEER
Glasgow, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. 
Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

23.February 2018 TBC
MOVEMENT ECOLOGY (MOVE02)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
www.prstatistics.com/course/movement-ecology-move01/


-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] CANADA - Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM04)

[Oliver Hooker]

Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM04)

https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-
simm04/

This course will be delivered by Andrew Jackson and Andrew Parnell in 
QWuebc, Canada for the 28th - 31st May 2018.

Course overview: 
This course will cover the concepts, technical background and use of stable 
isotope mixing models (SIMMs) with a particular focus on running them in R. 
This course will cover the concepts, technical background and use of stable 
isotope mixing models (SIMMs) with a particular focus on running them in R. 
Recently SIMMs have become a very popular tool for quantifying food webs 
and thus the diet of predators and prey in an ecosystem. Starting with only 
basic understanding of statistical models, we will cover the do’s and 
don’ts of using SIMMs with a particular focus on the widely used package 
SIAR and the more advanced MixSIAR. Participants will be taught some of the 
advanced features of these packages, which will enable them to produce a 
richer class of output, and are encouraged to bring their own data sets and 
problems to study during the round-table discussions.

Email oliverhoo...@prstatistics.com

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatsistics.com (Behaviour and cognition) 

1.  March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R (BDML01)
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/

2.  April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

3.  April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

4.  April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-
in-r-with-the-vegan-package-vgnr01/

5.  April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/

6.  May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R (MVSP02)
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-
ecological-data-theory-and-practice-mvsp03/
7.  May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)
CANADA (QUEBEC), Prof Subhash Lele 
www.prstatistics.com/course/introduction-to-mixed-hierarchical-models-for-
biologists-using-r-imbr01/

8.  May 21st - 25th 2018
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB05)
SCENE, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb05/

9.  May 21st - 25th 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS (IRMS01)
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-
ecological-applications-irms01/

10. May 28th – 31st 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

11. May 28th – June 1st 2018
ADVANCED PYTHON FOR BIOLOGISTS (APYB02)
SCENE, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb02/

12. June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

13. June 18th – 22nd 2018
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R (SEMR02)
Myuna Bay sport and recreation, Australia, Dr. Jon Lefcheck
www.prstatistics.com/course/structural-equation-modelling-for-ecologists-
and-evolutionary-biologists-semr02/

14. June 25th – 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/

15. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-

[ECOLOG-L] COURSE - Phylogenetic comparative methods for studying diversification and phenotypic evolution

[Oliver Hooker]

"Phylogenetic comparative methods for studying diversification and 
phenotypic evolution (PCME01)"

Full details can be found at the link below.

http://bit.ly/2FFjB6sPHYLOGENETIC_COMPARITIVE_METHODS_PHENOTYPIC_EVOLUTION

This course will run from the 22nd - 25th October 2018 in Glasgow City 
Centre and will be delivered by Dr. Antigoni Kaliontzopoulou.

Course Overview:
Phylogenetic comparative methods are commonly used nowadays to 
investigate how species diversification occurs and to test hypotheses 
about the mechanisms that drive phenotypic evolution, e.g. to model 
speciation and extinction, to understand why some groups are more 
diverse than others, to test whether phenotypic traits have evolved 
under neutral, directional or diversifying selection, to investigate how 
evolutionary rates are modified across the evolutionary history of a 
group etc. In all these cases, a phylogenetic hypothesis for the group 
of interest is combined to phenotypic and ecological data at the species 
level to understand the tempo and mode of evolutionary change.

The objective of this course is to provide an overview of these methods 
and of the tools avaipracticalsle for their implementation in the R 
statistical language. During theoretical sessions, we will review the 
main concepts and statistical tools necessary for testing hypotheses 
about species diversification and phenotypic evolution. These will then 
be implemented in practical practicals sessions through worked examples 
to provide the participants with hands-on experience on data management 
and the implementation of these methods to real biological data.

Monday 22nd
DAY 1: Introduction
9:00 'V 9:30: Introductions
9:30 'V 10:30: Why do we need PCMs? A short history of the field
11:00 'V 12:00: Testing for phylogenetic signal
13:00 'V 14:00: Ancestral character reconstruction
14:30 'V 17:30: PRACTICALS

Tuesday 23rd
DAY 2: Testing hypotheses on phenotypic evolution
9:00 'V 10:30: Phylogenetic independent contrasts and phylogenetic GLS
11:00 'V 12:30: Phylogenetically-informed ordination
14:30 'V 17:30: PRACTICALS

Wednesday 24th
DAY3: Tempo and mode of evolutionary change
9:00 'V 10:30: Evolutionary rates: estimation and tests
11:00 'V 12:30: Models of phenotypic evolution
14:30 'V 17:30: PRACTICALS

Thursday 25th
DAY 4: Miscellanea
9:00 'V 10:30: Modelling lineage diversification
11:00 'V 12:30: Future perspectives: multivariate extensions to PCMs
14:30 'V 17:30: PRACTICALS

Please feel free to share this anywhere you see fit.

Email oliverhoo...@prstatistics.com with any questions.

Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatsistics.com (Behaviour and cognition)

1.  March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R (BDML01)
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/

2.  April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

3.  April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

4.  April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-
in-r-with-the-vegan-package-vgnr01/

5.  April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/

6.  May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R (MVSP02)
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-
ecological-data-theory-and-practice-mvsp03/
7.  May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)
CANADA (QUEBEC), Prof Subhash Lele 
www.prstatistics.com/course/introduction-to-mixed-hierarchical-models-for-
biologists-using-r-imbr01/

8.  May 21st - 25th 2018
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB05)
SCENE, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb05/

9.  May 21st - 25th 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS (IRMS01)
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-

[ECOLOG-L] SCHOLARAHIPS - Network analysis for ecologists using R

[Oliver Hooker]

PR INFORMATICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME 
THEY CAN OFFER 5 PART-FUNDED SCHOLARSHIPS FOR OUR UP-COMING COURSE

"Network analysis for ecologists using R"

This course will run from the 9th - 13th April 2018 in Glasgow City Centre

SCHOLARSHIPS CONTRIBUTE TOWARDS TUITION and ACCOMMODATION FEES WITH 5 
PLACES 'ALL INCLUSIVE AVAILABLE AT £380.00 (Fees have been subsidised by 
50% from £785.00).

Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner 
Thursday evening, refreshments and accommodation. Self-catering facilities 
are available in the accommodation. Accommodation is approximately a 
6-minute walk from the PR statistics head office. Accommodation is multiple 
occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 8th 
April (after 5pm) and departure Friday 13th April (accommodation must be 
vacated by 9am). An additional nights accommodation can be purchased, 
departure 9am Saturday morning email for details.

Applications should be sent to oliverhoo...@prinformatics.com and contain 
the following.
1. Full name
2. Institute name
3. PhD subject title or Post doc research questions
4. Do you hold a funded position
5. 150 words why this course would be relevant to your research or how it 
would help.

Application deadline is Monday 26th March 2018

We still have ‘normal’ places available for anyone else interested.

Full course details are given below

https://www.prstatistics.com/course/network-analysis-for-ecologists-using-r-
ntwa02/

Please feel free to share this post

[ECOLOG-L] NEW COURSE - Introduction to spatial analysis of ecological data using R (ISAE01) - Subhash Lele

[Oliver Hooker]

-applications-irms01/

14. May 28th – 31st 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

15. May 28th – June 1st 2018
ADVANCED PYTHON FOR BIOLOGISTS (APYB02)
SCENE, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb02/


--
16. June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

17. June 18th – 22nd 2018
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R (SEMR02)
Myuna Bay sport and recreation, Australia, Dr. Jon Lefcheck
www.prstatistics.com/course/structural-equation-modelling-for-ecologists-
and-evolutionary-biologists-semr02/

18. June 25th – 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/


--
19. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

20. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

21. July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

22. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

23. October 8th – 12th 2018
Introduction to spatial analysis of ecological data using R (ISAE01)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-
ecological-data-using-r-isae01/


-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] COURSE - Spatial Analysis of Multivariate Ecological data - Pierre Legendre

[Oliver Hooker]

TATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

8.  April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-
in-r-with-the-vegan-package-vgnr01/

9.  April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/


--
10. May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R (MVSP02)
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-
ecological-data-theory-and-practice-mvsp03/
11. May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)
CANADA (QUEBEC), Prof Subhash Lele 
www.prstatistics.com/course/introduction-to-mixed-hierarchical-models-for-
biologists-using-r-imbr01/

12. May 21st - 25th 2018
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB05)
SCENE, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb05/

13. May 21st - 25th 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS (IRMS01)
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-
ecological-applications-irms01/

14. May 28th – 31st 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

15. May 28th – June 1st 2018
ADVANCED PYTHON FOR BIOLOGISTS (APYB02)
SCENE, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb02/


--
16. June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

17. June 18th – 22nd 2018
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R (SEMR02)
Myuna Bay sport and recreation, Australia, Dr. Jon Lefcheck
www.prstatistics.com/course/structural-equation-modelling-for-ecologists-
and-evolutionary-biologists-semr02/

18. June 25th – 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/


--
19. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

20. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

21. July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

22. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

23. October 8th – 12th 2018
Multivariate analysis of spatial ecological data using R (MASE02)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/multivariate-analysis-of-spatial-
ecological-data-using-r-mase02/

Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PR

[ECOLOG-L] COURSE - Multivariate analysis of ecological communities in R with the VEGAN package (VGNR01)

[Oliver Hooker]

cs-using-r-for-
psychologists-ipsy01/

8.  April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-
in-r-with-the-vegan-package-vgnr01/

9.  April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/


--
10. May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R (MVSP02)
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-
ecological-data-theory-and-practice-mvsp03/
11. May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)
CANADA (QUEBEC), Prof Subhash Lele 
www.prstatistics.com/course/introduction-to-mixed-hierarchical-models-for-
biologists-using-r-imbr01/

12. May 21st - 25th 2018
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB05)
SCENE, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb05/

13. May 21st - 25th 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS (IRMS01)
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-
ecological-applications-irms01/

14. May 28th – 31st 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

15. May 28th – June 1st 2018
ADVANCED PYTHON FOR BIOLOGISTS (APYB02)
SCENE, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb02/


--
16. June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

17. June 18th – 22nd 2018
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R (SEMR02)
Myuna Bay sport and recreation, Australia, Dr. Jon Lefcheck
www.prstatistics.com/course/structural-equation-modelling-for-ecologists-
and-evolutionary-biologists-semr02/

18. June 25th – 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/


--
19. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

20. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

21. July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

22. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

23. October 8th – 12th 2018
Multivariate analysis of spatial ecological data using R (MASE02)
Glasgow, Scotland, Prof. Subhash Lele
https://www.prstatistics.com/course/multivariate-analysis-of-spatial-
ecological-data-using-r-mase02/

Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] FINAL CALL FOR Network analysis for ecologists using R (NTWA02)

[Oliver Hooker]

FINAL CALL FOR "Network analysis for ecologists using R (NTWA02)"

Please use the link below to access the course details.

http://bit.ly/2tFjRwANetwork_Analysis

This course is being delivered in Glasgow City Centre from 9th - 13th April 
2018 and is being delivered by Dr. Marco Scotti

Course overview: The first graphical representation of a food web dates 
back to 1880, with the pioneering works of Lorenzo Camerano. Since then, 
research on ecological networks has further developed and ecology is one of 
the fields that contributed the most to the growth of network science. 
Nowadays, ecologists routinely apply network analysis with a diverse set of 
objectives that range from studying the stability of ecological communities 
to quantifying energy flows in ecosystems. The course is intended to 
provide the participants theoretical knowledge and practical skills for the 
study of food webs. First, lessons and exercises will introduce basic 
principles of network theory. Second, ecological examples will be focused 
on binary food webs, networks depicting who eats whom in ecosystems. 

Algorithms quantifying either global food web properties or single species 
features within the trophic network will be introduced. Third, we will 
study how the architecture of the food webs can be used to investigate 
robustness to biodiversity loss, thus helping to predict cascading 
extinction events. Fourth, ecosystem network analysis (ENA), a suite of 
matrix manipulation routines for the study of energy/matter circulation in 
ecosystems, will be presented. Then, we will apply the qualitative 
algorithm of loop analysis to describe how the impacts of perturbations 
(e.g. overfishing, species invasion and global warming) may propagate 
through food web structure. Finally, we will learn how to visualize food 
web graphs to illustrate their features in an intuitive and fancy way. 

Monday 9th – Classes from 09:00 to 17:00 Module 1: Introduction to graph 
theory and network science. Basic terminology for learning the language of 
networks: from nodes and links to degree distribution. Three types of 
mathematical graphs and their properties: random networks, small-world 
networks, and scale-free networks. 

Tuesday 10th – Classes from 09:00 to 17:00 Module 2: The use of graph 
theory in ecology: (1) networks representing various interactions in 
ecological communities (e.g., predator-prey and plant-pollinator networks); 
(2) networks illustrating interactions at different hierarchical levels 
(e.g., social networks at the population level and species dispersal in the 
landscape graph). Who eats whom in ecosystems and at which rate? Binary and 
weighted food web networks. Quantitative descriptors of food web networks 
(e.g., fraction of basal, intermediate and top species, connectance and 
link density). 

Wednesday 11th – Classes from 09:00 to 17:00 Module 3: The structural 
properties of food web networks. Biodiversity loss and food web network 
robustness. How to predict secondary extinctions using the information 
embedded in the network structure of the food webs. The relevance of 
bipartite networks in ecology for the description of various interaction 
types (e.g., plant-pollinator and plant-seed disperser relationships). 

Thursday 12th – Classes from 09:00 to 17:00 Module 4: Ecosystem network 
analysis (ENA): basic principles and algorithms. Trophic considerations: 
the effective trophic position of species in acyclic food webs. Finn 
cycling index and the amount of cycling in ecosystems. Loop analysis: basic 
principles and its use for modelling signed digraphs. Application of the 
qualitative algorithm of loop analysis to predict how food web interactions 
can mediate ecosystem responses to perturbations. 

Friday 13th – Classes from 09:00 to 16:00 Module 5: Can network analysis 
help to better understand possible consequences of global warming on 
ecological communities? Network visualization with R: how to change the 
layout of graphs illustrating food web interactions and bipartite networks. 
Email oliverhoo...@statistics.com with any questions. 

Check our sister sites 
www.PRstatistics.com (ecology and life sciences) 
www.PRinformatics.com (bioinformatics and data science) 
www.PSstatistics.com (behaviour and cognition) 

email oliverhoo...@prstatistics.com

Upcoming courses below1.
February 19th – 23rd 2018
MOVEMENT ECOLOGY (MOVE01)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
www.prstatistics.com/course/movement-ecology-move01/

2.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R (GMMR01)
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


--
3.  

[ECOLOG-L] COURSE - AUSTRALIA - Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR02)

[Oliver Hooker]

m/course/network-analysis-ecologists-ntwa02/

7.  April 16th �C 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

8.  April 23rd �C 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-
in-r-with-the-vegan-package-vgnr01/

9.  April 30th �C 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/


--
10. May 7th �C 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R (MVSP02)
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-
ecological-data-theory-and-practice-mvsp03/
11. May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)
CANADA (QUEBEC), Prof Subhash Lele 
www.prstatistics.com/course/introduction-to-mixed-hierarchical-models-for-
biologists-using-r-imbr01/

12. May 21st - 25th 2018
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB05)
SCENE, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb05/

13. May 21st - 25th 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS (IRMS01)
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-for-
ecological-applications-irms01/

14. May 28th �C 31st 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/

15. May 28th �C June 1st 2018
ADVANCED PYTHON FOR BIOLOGISTS (APYB02)
SCENE, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb02/


--
16. June 12th - 15th 2018
SPECIES DISTRIBUTION MODELLING (DBMR01)
Myuna Bay sport and recreation, Australia, Prof. Jane Elith, Dr. Gurutzeta 
Guillera
www.prstatistics.com/course/species-distribution-models-using-r-sdmr01/

17. June 18th �C 22nd 2018
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R (SEMR02)
Myuna Bay sport and recreation, Australia, Dr. Jon Lefcheck
www.prstatistics.com/course/structural-equation-modelling-for-ecologists-
and-evolutionary-biologists-semr02/

18. June 25th �C 29th 2018
SPECIES DISTRIBUTION/OCCUPANCY MODELLING USING R (OCCU01)
Glasgow, Scotland, Dr. Darryl McKenzie
www.prstatistics.com/course/species-distributionoccupancy-modelling-using-r-
occu01/


--
19. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

20. July 8th �C 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof David Warton
www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-
data-using-r-mbmv02/

21. July 16th �C 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

22. July 23rd �C 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/


------

-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.

[ECOLOG-L] COURSE - EUKARYOTIC METABARCODING

[Oliver Hooker]

-for-behavioral-
scientists-snar01/

 

20.July 8th – 12th 2018

MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)

Glasgow, Scotland, Prof David Warton

https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

 

21.July 16th – 20th 2018

PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)

Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith

https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-
raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

 

22.July 23rd – 27th 2018

EUKARYOTIC METABARCODING (EUKB01)

Glasgow, Scotland, Dr. Owen Wangensteen

http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/



--
Oliver Hooker PhD.
PR statistics
2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

+44 (0) 7966500340

[ECOLOG-L] Course - Network analysis for ecologists/biologists

[Oliver Hooker]

 BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
www.prinformatics.com/course/precision-medicine-bioinformatics-from-raw-
genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

22. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/


--

-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Course - Network analysis for ecologists/biologists

[Oliver Hooker]

 Griffith, Dr. Obi Griffith
https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-
raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

22. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/


-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] COURSE - Introduction to Python for biologists

[Oliver Hooker]

-of-mul
tivariate-ecological-data-theory-and-practice-mvsp03/

11.May 14^th - 18^th 2018

INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)

CANADA (QUEBEC), Prof Subhash Lele

https://www.prstatistics.com/course/introduction-to-mixed-hierarchical-
models-for-biologists-using-r-imbr01/

12.May 21^st - 25^th 2018

INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB05)

SCENE, Scotland, Dr. Martin Jones

http://www.prinformatics.com/course/introduction-to-python-for-biologis
ts-ipyb05/

13.May 21^st - 25^th 2018

INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS
(IRMS01)

Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi

https://www.prinformatics.com/course/introduction-to-remote-sensing-and
-gis-for-ecological-applications-irms01/

14.May 28^th – 31^st 2018

STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)

CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson

https://www.prstatistics.com/course/stable-isotope-mixing-models-using-
r-simm04/

15.May 28^th – June 1^st 2018

ADVANCED PYTHON FOR BIOLOGISTS (APYB02)

SCENE, Scotland, Dr. Martin Jones

https://www.prinformatics.com/course/advanced-python-biologists-apyb02/

-

16.June 12^th -0 15^th 2018

SPECIES DISTRIBUTION MODELLING (DBMR01)

Myuna Bay sport and recreation, Australia, TBC

https://www.prstatistics.com/course/species-distribution-models-using-r
-sdmr01/

17.June 18^th – 22^nd 2018

STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY
BIOLOGISTS USING R (SEMR02)

Myuna Bay sport and recreation, Australia, TBC

https://www.prstatistics.com/course/structural-equation-modelling-for-e
cologists-and-evolutionary-biologists-semr02/

-

18.July 2^nd - 5^th 2018

SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)

Glasgow, Scotland, Prof James Curley

http://www.psstatistics.com/course/social-network-analysis-for-behavior
al-scientists-snar01/

19.July 8^th – 12^th 2018

MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)

Glasgow, Scotland, Prof David Warton

https://www.prstatistics.com/course/model-base-multivariate-analysis-of
-abundance-data-using-r-mbmv02/

20.July 16^th – 20^th 2018

PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME
DATA TO CLINICAL INTERPRETATION (PMBI01)

Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith

https://www.prinformatics.com/course/precision-medicine-bioinformatics-
from-raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi0
1/

21.July 23^rd – 27^th 2018

EUKARYOTIC METABARCODING (EUKB01)

Glasgow, Scotland, Dr. Owen Wangensteen

http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

Oliver Hooker PhD.
PR informatics
2017 publications
- Ecosystem size predicts eco-morphological variability in post-glacial
diversification. Ecology and Evolution.
- The physiological costs of prey switching reinforce foraging
specialization. Journal of animal ecology.


Oliver Hooker <oliverhoo...@prinformatics.com>

[ECOLOG-L] AUSTRALIA - Species distribution models using R - Jane Elith

[Oliver Hooker]

Species distribution models using R (SDMR01)

This course will run from the 12th - 15th June 2018 at Myuna Bay in 
Australia and is being delivered by Prof. Jane Elith and Dr. Gurutzeta 
Guillera

Accommodation packages are available

https://www.prstatistics.com/course/species-distribution-models-using-r-
sdmr01/

Course Overview:
The aim of this four-day course is to work towards an understanding of, and 
practical ability to fit, species distribution models (SDMs). It will be 
useful if you plan to use SDMs, or if you just want to understand them 
better. We will focus on statistical models of species distributions – 
those that combine observed species records with environmental data. Using 
a mixture of lectures, computer exercises and case studies, participants 
will learn to:
1) identify relevant data, and prepare it for modelling;
2) fit models using several modelling methods (including Maxent, 
generalized linear models and their extensions, and boosted regression 
trees);
3) consider how to model species if detection is imperfect;
4) evaluate models and interpret them;
5) understand the range of practical issues that arise in typical 
applications of SDMs.

Practical sessions will use the free statistical software, R – prior 
experience (even if some practice before you come) will be useful. Example 
data will be provided but participants may also bring their own data.

Tuesday 12th
Overview of modelling distributions; niches and theory
The modelling process – key concepts
Predictor variables
Species data
Practical: start working with supplied data
Methods for presence-absence data; introduction to use of regression models 
for species modelling

Wednesday 13th
Generalised linear models (GLMs) and GLMMS
Practical: using GLMs with data
How to evaluate models – lecture and practical
Occupancy-detection models – lecture and practical

Thursday 14th
What if no absence data? – introduction to presence-only and background data
Practical: GLM with background data
Relative probabilities, point processes
Maxent – lecture and practical
Evaluation for presence-background models
How to deal with biased data

Friday 15th
Boosted regression trees – lecture and practical
Complexity vs simplicity in models
Using models for extrapolation
Hot topics: where is species modelling heading?

Please email any questions to oliverhoo...@prstatistics.com

Please feel free to share this anywhere you see fit

Other up-coming courses include



--
1.  February 19th – 23rd 2018
MOVEMENT ECOLOGY (MOVE01)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

2.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R (GMMR01)
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


--
3.  March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN (MRXN01)
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

4.  March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R (ENMR02)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

5.  March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R (BDML01)
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/


--
6.  April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

7.  April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

8.  April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

9.  April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick

[ECOLOG-L] Movement ecology (MOVE01) - 2 places due to cancellations

[Oliver Hooker]

We have two places on the course "Movement ecology (MOVE01)".

This course was full but we have had openings due to 2 cancellations.

This course will run from the 19th - 23rd February 2018 in Wales and will 
be delivered by Prof. Luca Borger, Prof. Rory Wilson, Dr. Jonathan Potts

Full details can be found at 

https://www.prstatistics.com/course/movement-ecology-move01/

Course Overview:
The course will cover the concepts, technology and software tools that can 
be used to analyse movement data (from ringing/CMR to VHF/GPS to novel 
biologging data) in ecology and evolution, covering analysis techniques 
applicable broadly to most taxa, from micro-organisms to plants and 
animals. We will cover elementary and advanced analysis and modelling 
techniques broadly applicable across taxa, highlighting the advantages of a 
unified Movement Ecology framework. We will provide the necessary bases in 
ecology (especially behavioural ecology), physics and 
mathematics/statistics, to be able to identify for any specific research 
question the most appropriate study species, logging technology (incl. 
attachment methods), and statistical/mathematical modelling approach. We 
will specifically address the challenges and opportunities at each of the 
steps of the proposed ‘question-driven approach’, combining hands-on 
sessions with new biologging technology with computer-based practicals in R 
and specialized software for biologging data developed by the SLAM lab at 
Swansea University. We will also address the challenges of applying the 
results of the analyses to applied management problems and communicate the 
findings to non-experts.

If you have any questions please email oliverhoo...@prstatistics.com

[ECOLOG-L] CANADA - Spatial Analysis of Multivariate Ecological Data - Piere Legendre

[Oliver Hooker]

Advances in Spatial Analysis of Multivariate Ecological Data: Theory and 
Practice (MVSP03)

https://www.prstatistics.com/course/advances-in-spatial-analysis-of-
multivariate-ecological-data-theory-and-practice-mvsp03/

This course will be delivered by Prof. Pierre Legendre and Dr. Guillaume 
Blanchet from the 7-11th May 2018 in Quebec, Canada.

Course Overview:
The course will describe recent methods (concepts and R tools) that can be 
used to analyse spatial patterns in community ecology. The umbrella concept 
of the course is beta diversity, which is the spatial variation of 
communities. These methods are applicable to all types of communities 
(bacteria, plants, animals) sampled along transects, regular grids or 
irregularly distributed sites. The new methods, collectively referred to as 
spatial eigen-function analysis, are grounded into techniques commonly used 
by community ecologists, which will be described first: simple ordination 
(PCA, CA, PCoA), multivariate regression and canonical analysis, 
permutation tests. The choice of dissimilarities that are appropriate for 
community composition data will also be discussed. The focal question is to 
determine how much of the community variation (beta diversity) is due to 
environmental sorting and to community-based processes, including neutral 
processes. Recently developed methods to partition beta diversity in 
different ways will be presented. Extensions will be made to temporal and 
space-time data.

Monday 7th
Introduction to data analysis.
Ordination in reduced space: principal component analysis (PCA), 
correspondence analysis (CA), principal coordinate analysis (PCoA).
Transformation of species abundance data tables prior to linear analyses.

Tuesday 8th
Measures of similarity and distance, especially for community composition 
data.
Multiple linear regression. R-square, adjusted R-square, AIC, tests of 
significance.
Polynomial regression.
Partial regression and variation partitioning.

Wednesday 9th
Statistical testing by permutation.
Canonical redundancy analysis (RDA) and canonical correspondence analysis 
(CCA). Multivariate analysis of variance by canonical analysis.
Forward selection of environmental variables in RDA.

Thursday 10th
Origin of spatial structures.
Beta diversity partitioning and LCBD indices
Replacement and richness difference components of beta diversity.

Friday 11th
Spatial modelling: Multi-scale modelling of the spatial structure of 
ecological communities: dbMEM, generalized MEM, and AEM methods.
Community surveys through space and time: testing the space-time 
interaction in repeated surveys.
Additional module depending on time – Is the Mantel test useful for spatial 
analysis in ecology and genetics?

Please email any questions to oliverhoo...@prstatistics.com

Other up-coming courses include



--
1.  February 19th – 23rd 2018
MOVEMENT ECOLOGY (MOVE01)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

2.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R (GMMR01)
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


--
3.  March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN (MRXN01)
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

4.  March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R (ENMR02)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

5.  March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R (BDML01)
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/


--
6.  April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

7.  April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

8.  April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)

[ECOLOG-L] Introduction to remote sensing and GIS for ecological applications

[Oliver Hooker]

Introduction to remote sensing and GIS for ecological applications (IRMS01)

https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

This course will be delivered by Prof. Duccio Rocchini and Dr. Luca 
Delucchi from the 21st – 25th May 2018 in Glasgow City Centre.

This course is aimed at anyone using remote sense (RS) data, for example 
those in the field of landscape genetics/genomics and will give a full 
overview of RS from an introductory level.

Course Overview:
The course will deal with different aspects related to the use of remote 
sensing and GIS in spatial ecology by using the Free and Open Source 
Software GRASS GIS coupled with R. By the end of this 5-day practical 
course, attendees will have the capacity to deal with ecological patterns 
and processes by using GIS and remote sensing algorithms. The increasing 
availability of open ecological and geographical data through networks such 
as the Global Biodiversity Information Facility (GBIF, http://www.gbif.org) 
or the Data Observation Network for Earth (DataONE) federated data archive 
(http://www.dataone.org) makes it increasingly possible to test cutting-
edge ecological theories. In using a shared open-source code for testing 
these ecological theories, researchers can be sure that their results are 
reliable and also that the code they have used is robust. Attendees will be 
able to process spatial and ecological data by free and open source 
algorithms. The course will be mainly practical, but grounded on robust 
theory. All the analyses will be performed in GRASS GIS and the code will 
be shared with attendees.

Full details can be found at 

https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/
Please feel free to share this anywhere you see fit
Please email question to oliverhoo...@prinformastics.com 
Other up-coming courses include

1.  February 19th – 23rd 2018
MOVEMENT ECOLOGY (MOVE01)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

2.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R (GMMR01)
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


--
3.  March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN (MRXN01)
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

4.  March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R (ENMR02)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

5.  March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R (BDML01)
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/


--
6.  April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

7.  April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

8.  April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

9.  April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
https://www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/


--
10. May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R (MVSP02)
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
https://www.prstatistics.com/course/advances-in-spatial-analysis-of-
multivariate-ecological-data-theory-and-practice-mvsp03/
11. May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS (IMBR01)

[ECOLOG-L] FINAL CALL - last few places available for Spatial Prioritization with Marxan (MRXN01)

[Oliver Hooker]

Spatial Prioritization with Marxan (MRXN01)

FINAL CALL - LAST FEW PLACES AVAILABLE

Full details can be found using this link

https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

This course will run from 5th - 9th March 2018 in Glasgow and is delivered 
by Jennifer McGowan, one of the Marxan developers.

Course Overview:
Marxan (Ian Ball and Hugh Possingham, 2000) is a software program used to 
support the design of marine and terrestrial reserves.  Marxan is now used 
by over 6000 people in 150 countries, making it the most the most widely 
used conservation planning tool in the world. In simple terms, Marxan 
analyzes scientific and geographic data to help users allocate space in 
ways that maximize values such as biodiversity, land value, cultural 
significance, and economic productivity whilst minimizing cost. This hands-
on course will provide participants with the basic knowledge and skills 
necessary to use Marxan in a conservation planning exercise. 
The following topics will be covered in the course:
1) Key concepts in systematic conservation planning
2) Problem definition
3) Creation of planning units and using geospatial data
4) Creating the essential Marxan input files
5)Parameter setting in Marxan
6) Understanding and interpreting Marxan results
7) Post-hoc evaluation and performance metrics
8) Advanced topics: Introduction to Marxan with Zones, Marxan with 
Connectivity, and Marxan with Probability

Course only and accommodation packages are available please email 
oliverhoo...@prstatistics.com with any questions.

Please check out the courses on our sister sites

www.PRstatistics.com (ecology & life sciences)
www.PRinformatics.com (bioinformatics & computer sciences) 
www.PSstatistics.com (psychology, behaviour & cognition)

Other upcoming courses listed below



--
1.  January 29th – February 2nd 2018
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (IBHM02)
SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

2.  January 29th – February 2nd 2018
PHYLOGENETIC DATA ANALYSIS USING R (PHYL02)
SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/


--
3.  February 19th – 23rd 2018
MOVEMENT ECOLOGY (MOVE01)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

4.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R (GMMR01)
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


--
5.  March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN (MRXN01)
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

6.  March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R (ENMR02)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

7.  March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R (BDML01)
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/


--
8.  April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

9.  April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

10. April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

11. April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick

[ECOLOG-L] Part funded scholarships for Geometric morphometrics using R (D. Adams, M Collyer, A. Kaliontzopoulou)

[Oliver Hooker]

ionary-biologists-semr02/


--
20. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

21. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

22. July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-
raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

23. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Ecological Niche Modelling using R

[Oliver Hooker]

--
21. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R (SNAR01)
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

22. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV02)
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

23. July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION (PMBI01)
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-
raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

24. July 23rd – 27th 2018
EUKARYOTIC METABARCODING (EUKB01)
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/


-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] COURSE ON MARXAN (Spatial Prioritization with MARXAN)

[Oliver Hooker]

Spatial Prioritization with MARXAN (MRXN01) 

Scotland, 5th – 9th March 2018 

This course will be delivered by Jennifer McGowan part of the MARXAN 
development team

Course overview: 
Marxan (Ian Ball and Hugh Possingham, 2000) is a software program used to 
support the design of marine and terrestrial reserves. Marxan is now used 
by over 6000 people in 150 countries, making it the most the most widely 
used conservation planning tool in the world. In simple terms, Marxan 
analyzes scientific and geographic data to help users allocate space in 
ways that maximize values such as biodiversity, land value, cultural 
significance, and economic productivity whilst minimizing cost. This hands-
on course will provide participants with the basic knowledge and skills 
necessary to use Marxan in a conservation planning exercise. The following 
topics will be covered in the course:

• Key concepts in systematic conservation planning
• Problem definition
• Creation of planning units and using geospatial data
• Creating the essential Marxan input files
• Parameter setting in Marxan
• Understanding and interpreting Marxan results
• Post-hoc evaluation and performance metrics
• Advanced topics: Introduction to Marxan with Zones, Marxan with 
Connectivity, and Marxan with Probability

Full details can be found using this link 
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

If you have any questions, please feel free to email 
oliverhoo...@prstatistics.com

Please feel free to share this information anywhere you see fit and 
apologies for any cross posting.

Other up-coming courses



--
1.  January 29t – February 2nd 2018
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (IBHM02)
SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

2.  January 29th – February 2nd 2018
PHYLOGENETIC DATA ANALYSIS USING R (PHYL02)
SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/


--
3.  February 19th – 23rd 2018
MOVEMENT ECOLOGY (MOVE01)
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

4.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R (GMMR01)
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


--
5.  March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN (MRXN01)
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

6.  March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R (ENMR02)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

7.  March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R (BDML01)
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/


--
8.  April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R (NTWA02
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

9.  April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

10. April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
(VGNR01)
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

11. April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
(QGER01)
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
https://www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/

[ECOLOG-L] Precision Medicine Bioinformatics

[Oliver Hooker]

http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Course on Social Network Analysis for Behavioural Scientists

[Oliver Hooker]

Social Network Analysis for Behavioural Scientists using R (SNAR01) 

https://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

Delivered by Prof. James Curley

3rd July 2018 - 6th July 2018 

Please feel free to share this anywhere you feel is suitable.

Course Overview:
This workshop will provide students with the opportunity to learn how to 
use social network analysis to analyze social relational datasets such as 
human friendship networks or animal social networks. Attendees will learn 
how to use R and several R packages including igraph, sna, network, asnipe, 
timeordered, tsna to create network graphs, calculate descriptive network 
metrics, use randomization and random models to evaluate the significance 
of these metrics, determine graph structural properties including community 
structures, use QAP and MRQAP methods to assess how network characteristics 
relate to other individual and relational attributes, and measure change 
over time in dynamic networks. Attendees will also learn how to produce 
high quality network visualizations using R.

Monday 2nd – Classes from 09:00 to 17:00

Elementary concepts.
Module 1: Introduction to Social Networks Theory. This will cover central 
themes of social network analysis: the major data formats, structures and 
collection methods, the different types of graphs and networks; how to 
generate and visualize social networks and generate basic descriptive 
statistics, and what hypotheses and questions can be addressed using social 
network analysis. We will also discuss data types and questions of interest 
to attendees.

Module 2: R refresher and R packages. This module will provide a quick 
overview of the major packages used for social network analysis in R 
including ‘igraph’, ‘sna’, ‘network’. We shall learn how to convert raw 
data formats to network objects in R; how to interface with R network 
objects and how to create simple network visualizations.

Module 3: Intro to Visualizing Networks. We shall cover how to generate and 
beautify networks using the ‘igraph’ R package covering issues such as 
layout decisions, coloring and sizing of nodes and edges by network 
attributes, metrics or community. We shall extend this to cover how to 
create dynamic three-dimentional network plots using the R 
package ‘threejs’. We shall also discuss how to use the ‘ggplot’ 
based ‘ggraph’ R package which has many customizable features for plotting 
networks.

Tuesday 3rd – Classes from 09:00 to 17:00

Basic analyses.
Module 4: Identifying important nodes and edges. Learn how to evaluate key 
indicators of each node’s significance to the network including, degree 
centrality, eigenvector centrality, power centrality, and betweenness. 
Describe how to calculate for directed vs. undirected and weighted vs 
unweighted networks. Learn how to assess simple relationships between nodes 
including geodesic distances, identifying neighbors, determining shortest 
and longest paths.

Module 5: Introduction to Network Randomization and Random Models. It is 
critical in network analysis to evaluate how likely it is to observe a 
given network metric for our network of interest. This module will 
introduce how to use null models (randomizations/permutations or random 
graphs) to test whether networks have characteristics that are especially 
surprising after accounting for non-independence. We also will learn how to 
generate confidence intervals for network metrics and carry out 
significance testing. We shall learn how to use the ‘igraph’ package for 
random graph generation.

Module 6: Network Graph Characteristics. We shall cover concepts such as 
dyad and triad censuses, transitivity, assortativity, homophily, 
reciprocity, clustering and density. We shall discuss their significance 
and importance for answering relevant questions to the patterns of social 
associations and behavior in networks.

Wednesday 4th – Classes from 09:00 to 17:00

Extending Network Analysis.
Module 7: Community Detection. Overview of what communities (modules) mean 
for animal and human social networks – that a high proportion of nodes or 
edge weights cluster within a sub-group of nodes/edges rather than between 
sub-groups. We shall review the numerous community detection methods and 
describe the implementation of major ones in R. How to generate robustness 
in evaluation of community detection. How to to determine the degree of 
community structure in a network using the index of modularity (Q) and 
bootstrapping techniques such as community assortativity (rcom). 
Hierarchical clustering for analysis of hierarchically organized social 
societies.

Module 8: Randomizations and Random models II. This module will further 
explore how to determine the appropriate choice of null models for 
behavioral data. This is not always a trivial exercise for behavioral 
datasets. We will use the ‘asnipe’ R package for network permutation 
and ‘igraph’ R package for null 

[ECOLOG-L] PhylogeneticDataAnalysisInR. 28Jan-2Feb.Paradis.FINALCALL

[Oliver Hooker]

8.  March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN #MRXN
Margam Discovery Centre, Wales, Jennifer McGowan
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

9.  March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R #ENMR
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

10. March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/

-
11. April 9th – 13th 2018
NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Glasgow, Scotland, Dr. Marco Scotti
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

12. April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

13. April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
#VGNR
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

14. April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
#QGER
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
https://www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/

-
15. May 7th – 11th 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R #MVSP
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet
https://www.prstatistics.com/course/advances-in-spatial-analysis-of-
multivariate-ecological-data-theory-and-practice-mvsp03/

16. May 14th - 18th 2018
INTRODUCTION TO MIXED (HIERARCHICAL) MODELS FOR BIOLOGISTS #IMBR
CANADA (QUEBEC), Prof Subhash Lele
https://www.prstatistics.com/course/introduction-to-mixed-hierarchical-
models-for-biologists-using-r-imbr01/

17. May 21st - 25th 2018
INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
SCENE, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb05/

18. May 21st - 25th 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

19. May 28th – 31st 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson
https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-
simm04/

20. May 28th – June 1st 2018
ADVANCED PYTHON FOR BIOLOGISTS #APYB
SCENE, Scotland, Dr. Martin Jones
https://www.prinformatics.com/course/advanced-python-biologists-apyb02/

-
21. June 12th -0 15th 2018
SPECIES DISTRIBUTION MODELLING #DBMR
Myuna Bay sport and recreation, Australia, TBC
COMING SOON  www.PRstatistics.com

22. November 6th – 10th 2017
LANDSCAPE GENETIC DATA ANALYSIS USING R #LNDG
Myuna Bay sport and recreation, Australia, TBC
COMING SOON  www.PRstatistics.com

23. June 18th – 22nd 2018
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R #SEMR
Myuna Bay sport and recreation, Australia, TBC
COMING SOON  www.PRstatistics.com

-
24. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

25. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

26. July 16th – 20th 2018
PRECISION MEDICINE BIOINFORMATICS: FROM RAW GENOME AND TRANSCRIPTOME DATA 
TO CLINICAL INTERPRETATION #PMBI
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
https://www.prinformatics.com/course/precision-medicine-bioinformatics-from-
raw-genome-and-transcriptome-data-to-clinical-interpretation-pmbi01/

27. July 23rd – 27th 2018
EUKARYOTIC METABARCODING
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/
Oliver Hooker PhD.
PR statis

[ECOLOG-L] CANADA - Advances in Spatial Analysis of Multivariate Ecological Data - Pierre Legendre

[Oliver Hooker]

Advances in Spatial Analysis of Multivariate Ecological Data: Theory and 
Practice

Delivered by Prof. Pierre Legendre

https://www.prstatistics.com/course/advances-in-spatial-analysis-of-
multivariate-ecological-data-theory-and-practice-mvsp03/

This course will run from 7th - 11th May 2018 at Orford Musique, 3165 
Chemin du Parc, Orford, QC J1X 7A2, Canada 

Course Overview:
The course will describe recent methods (concepts and R tools) that can be 
used to analyse spatial patterns in community ecology. The umbrella concept 
of the course is beta diversity, which is the spatial variation of 
communities. These methods are applicable to all types of communities 
(bacteria, plants, animals) sampled along transects, regular grids or 
irregularly distributed sites. The new methods, collectively referred to as 
spatial eigen-function analysis, are grounded into techniques commonly used 
by community ecologists, which will be described first: simple ordination 
(PCA, CA, PCoA), multivariate regression and canonical analysis, 
permutation tests. The choice of dissimilarities that are appropriate for 
community composition data will also be discussed. The focal question is to 
determine how much of the community variation (beta diversity) is due to 
environmental sorting and to community-based processes, including neutral 
processes. Recently developed methods to partition beta diversity in 
different ways will be presented. Extensions will be made to temporal and 
space-time data.

Course content is as follows

Monday 7th – Classes from 09:00 to 17:00
Introduction to data analysis.
Ordination in reduced space: principal component analysis (PCA), 
correspondence analysis (CA), principal coordinate analysis (PCoA).
Transformation of species abundance data tables prior to linear analyses.

Tuesday 8th – Classes from 09:00 to 17:00
Measures of similarity and distance, especially for community composition 
data.
Multiple linear regression. R-square, adjusted R-square, AIC, tests of 
significance.
Polynomial regression.
Partial regression and variation partitioning.

Wednesday 9th – Classes from 09:00 to 17:00
Statistical testing by permutation.
Canonical redundancy analysis (RDA) and canonical correspondence analysis 
(CCA). Multivariate analysis of variance by canonical analysis.
Forward selection of environmental variables in RDA.

Thursday 10th – Classes from 09:00 to 17:00
Origin of spatial structures.
Beta diversity partitioning and LCBD indices
Replacement and richness difference components of beta diversity.

Friday 11th – Classes from 09:00 to 16:00
Spatial modelling: Multi-scale modelling of the spatial structure of 
ecological communities: dbMEM, generalized MEM, and AEM methods.
Community surveys through space and time: testing the space-time 
interaction in repeated surveys.
Additional module depending on time – Is the Mantel test useful for spatial 
analysis in ecology and genetics?
Please email any inquiries to oliverhoo...@prstatistics.com or visit our 
website www.prstatistics.com

Please feel free to distribute this material anywhere you feel is suitable

PRstatistics upcoming courses - email for details 
oliverhoo...@prstatistics.com for details

1.  November 20th - 25th 2017
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
SCENE, Scotland, Dr. Matt Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme03/

2.  November 27th – December 1st 2017
INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
Margam Discovery Centre, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb04/

-
3.  December 4th - 8th 2017
ADVANCING IN STATISTICAL MODELLING USING R #ADVR
Margam Discovery Centre, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane 
Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr07/

-
4.  January 29th – February 2nd 2018
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

5.  January 29th – February 2nd 2018
PHYLOGENETIC DATA ANALYSIS USING R #PHYL
SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/

-
6.  February 19th – 23rd 2018
MOVEMENT ECOLOGY #MOVE
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

7.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R #GMMR
Margam 

[ECOLOG-L] COURSE Quantitative geographic ecology using R: modelling genomes, niches, and communities

[Oliver Hooker]

Quantitative geographic ecology using R: modelling genomes, niches, and 
communities (QGER01)

https://www.prstatistics.com/course/quantitative-geographic-ecology-using-r-
modelling-genomes-niches-and-communities-qger01/

30th April 2018 - 4th May 2018

Dr. Dan Warren and Dr. Matt Fitzpatrick

Course Overview:
Spatial modelling is increasingly being used in ecology and evolutionary 
biology for both basic and applied research questions. While emphasis 
traditionally has been on species-level niche modelling, the increasing 
availability of genomic and community-level data has increased interest in 
modelling biodiversity patterns above and below the species level. This 
5-day course will provide a thorough introduction to different spatial 
modelling techniques for quantifying and visualizing patterns of 
biodiversity across scales of biological organization – from population-
level genetic variation, to species ecological niches, to communities. 
Students will learn about theory, common data types, and statistical 
techniques used in these different applications.

The course will include introductory lectures, guided computer coding in R, 
and exercises for the participants, with an emphasis on visualization and 
reproducible workflows. All modelling and data manipulation will be 
performed with R. Attendees will learn to use niche modelling algorithms 
including Maxent, GLM, GAM, and others, and will learn both new and 
existing methods for conducting comparative studies using ENMs in the new 
ENMTools R package.  Generalized Dissimilarity Modelling (GDM) and Gradient 
Forest (GF) will be taught for modelling genomic and community-level data. 
The course is intended for intermediate R users with interest in 
quantitative geographical ecology.

After successfully completing this course students will:
1) Understand the theory underlying ENMs and the critical assumptions 
necessary to the modelling process.
2) Be able to develop, evaluate, and apply ENMs both in the context of 
conservation-oriented studies and to study niche evolution.
3) Understand the statistical underpinnings of GDM and GF
4) Be able to develop, evaluate and apply GDM and GF for quantifying and 
mapping spatial genetic patterns and community-level compositional variation
5) Assess population- and community-level vulnerability to climate change

Monday 30th
Organisation and Introductions.
Spatial data in R.
Point data, vector data, and raster data.
GBIF, the Global Biodiversity Information Facility.
Interacting with Google Maps.
Working with raster and vector data.

Tuesday 1st
Ecological vs. historical biogeography.
ENM / SDM concepts and assumptions
Dismo
Conceptual and practical issues with ecological inferences from 
distribution data.
Simulating species occurrence data.

Wednesday 2nd
Testing ecological and evolutionary hypotheses via Monte Carlo methods.
ENMTools R package.
Ecospat
Questions of taxonomic scale.
Incorporating niche conservatism into the modelling process.

Thursday 3rd
Introduction to community-level modeling
Background on GDM and GF
Review of data formats and data preparation
• Community-level data
• Genomic data
Model fitting and testing
Interpreting model results, including turnover functions
Model testing / validation / variable selection

Friday 4th
Predictions & Applications of GDM / GF
Transforming grids
Visualizing spatial variation in community / genetic composition
• Dissimilarity between locations
• Projecting patterns under climate change

Please send enquiries to oliverhoo...@prstaititcs.com

Other upcoming courses

1.  November 6th – 10th 2017
LANDSCAPE GENETIC DATA ANALYSIS USING R #LNDG
Margam Discovery Centre, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg02/

2.  November 20th - 25th 2017
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
SCENE, Scotland, Dr. Matt Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme03/

3.  November 27th – December 1st 2017
INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
Margam Discovery Centre, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb04/


--
4.  December 4th - 8th 2017
ADVANCING IN STATISTICAL MODELLING USING R #ADVR
Margam Discovery Centre, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane 
Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr07/


--
5.  January 29t – February 2nd 2018
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
SCENE, Scotland, Dr. Andrew Parnell

[ECOLOG-L] Course on Geometric Morphometrics using R

[Oliver Hooker]

Geometric Morphometrics Using R (GMMR01)

https://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

This course is being delivered by Prof. Dean Adams, Prof. Michael Collyer 
and Dr. Antigoni Kaliontzopoulou
 
This course will run from 19th – 23rd February 2018 at Margam Discovery 
Centre, Wales, UK.
 
The field of geometric morphometrics (GM) is concerned with the 
quantification and analysis of patterns of shape variation, and its 
covariation with other variables. Over the past several decades these 
approaches have become a mainstay in the field of ecology, evolutionary 
biology, and anthropology, and a panoply of analytical tools for addressing 
specific biological hypotheses concerning shape have been developed. The 
goal of this is to provide participants with a working knowledge of the 
theory of geometric morphometrics, as well as practical training in the 
application of these methods.
 
The course is organized in both theoretical and practical sessions. The 
theoretical sessions will provide a comprehensive introduction to the 
methods of landmark-based geometric morphometrics, which aims at providing 
the participants with a solid theoretical background for understanding the 
procedures used in shape data analysis. Practical sessions will include 
worked examples, giving the participants the opportunity to gain hands-on 
experience in the treatment of shape data using the R package geomorph. 
These sessions focus on the generation of shape variables from primary 
landmark data, the statistical treatment of shape variation with respect to 
biological hypotheses, and the visualization of patterns of shape variation 
and of the shapes themselves for interpretation of statistical findings, 
using the R language for statistical programming. While practice datasets 
will be available, it is strongly recommended that participants come with 
their own datasets.
 
Note: Because this is a geometric morphometrics workshop in R, it is 
required that participants have some working knowledge in R. The practical 
sessions of the course will focus on GM-based analyses, and not basic R 
user-interfacing. It is therefore strongly recommended that participants 
refresh their R skills prior to attending the workshop.
 
 
Course Programme
 
Sunday 5th Meet at Millport field centre at approximately 18:30.
 
Monday 6th – Classes from 09:00 to 17:30
1: Morphometrics: History, Introduction and Data Types
2: Review of matrix algebra and multivariate statistics
3: Superimposition
4: Software demonstration and lab practicum
 
Tuesday 7th – Classes from 09:00 to 17:30
1: Shape spaces, shape variables, PCA
2: GPA with semi-landmarks
3: Shape covariation
4: Software demonstration and lab practicum
 
Wednesday 8th – Classes from 09:00 to 17:30
1: Phylogenetic shape variation
2: Group Differences & Trajectory Analysis
3: Allometry
4: Software demonstration and lab practicum
 
Thursday 9th – Classes from 09:00 to 17:30
1: Assymetry
2: Missing Data
3: Integration and Modularity
4: Disparity
5: Software demonstration and lab practicum
 
Friday 10th – Classes from 09:00 to 16:00
1: Future Directions
2: Lab Pacticum
3: Student Presentations
 
Please send inquiries to oliverhoo...@prstatistics.com or visit the website 
www.prstatistics.com
 
Please feel free to distribute this information anywhere you think suitable
 
Upcoming courses - email for details oliverhoo...@prstatistics.com

1.  November 6th – 10th 2017
LANDSCAPE GENETIC DATA ANALYSIS USING R #LNDG
Margam Discovery Centre, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg02/

2.  November 20th - 25th 2017
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
SCENE, Scotland, Dr. Matt Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme03/

3.  November 27th – December 1st 2017
INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
Margam Discovery Centre, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb04/


--
4.  December 4th - 8th 2017
ADVANCING IN STATISTICAL MODELLING USING R #ADVR
Margam Discovery Centre, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane 
Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr07/


--
5.  January 29t – February 2nd 2018
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

6.  January 29th – February 2nd 2018
PHYLOGENETIC 

[ECOLOG-L] CANADA course on Mixed (Hierarchical) Models - Prof. Subhash Lele

[Oliver Hooker]

Introduction to Mixed (Hierarchical) models for biologists using R (IMBR01)

Delivered by Prof. Subhash Lele

Introduction to Mixed (Hierarchical) models for biologists using R (IMBR01)

This 5 day course will run from 14th - 18th May 2018 at Orford Musique, 
Orford, Quebec, Canada.

Mixed models, also known as hierarchical models and multilevel models, is a 
useful class of models for many applied sciences, including biology, 
ecology and evolution. The goal of this course is to give a thorough 
introduction to the logic, theory and most importantly implementation of 
these models to solve practical problems in ecology. Participants are not 
expected to know mathematics beyond the basic algebra and calculus. 
Participants are expected to know some R programming and to be familiar 
with the linear and generalized linear regression. We will be using JAGS 
(Just Another Gibbs Sampler) for Markov Chain Monte Carlo (MCMC) 
simulations for analyzing mixed models. The course will be conducted so 
that participants have substantial hands-on experience.


Course content is as follows

Monday 14th
Linear and Generalized linear models

To understand mixed models, the most important rst step is to 
thoroughly 
understand the linear and generalized linear models. Also, when conducting 
the data analysis, it is useful to t a simpler xed 
eects model before 
trying to t a more complex mixed eects model. Hence, we will 
start with 
a very detailed review of these models. We are assuming that the 
participants are familiar with these models and hence we will emphasize 
some important, but not commonly covered, topics. This will also give us an 
opportunity to unify the notation, review the basic R commands and ll 
out 
any gaps in knowledge and understanding of these topics.
1. We will show the use of non-parametric exploratory techniques such as 
classication and regression trees (CART) for learning about important 
covariates and possible non-linearities in the relationships.
2. We will emphasize graphical and simulation based methods (e.g. Gelman 
and Hill, 2006) to understand and explore the implications of the tted 
model.
3. We will discuss graphical tools such as marginal and conditional plots 
that are useful for conveying the results of a multiple regression model to 
a lay person.
4. We will emphasize the use of graphical tools to conduct regression 
diagnostics and appropriateness of the model.
5. We will discuss the important concepts of confounding, eect 
modication and interaction. These are particularly important to conduct 
causal, not just correlational, inference using observational studies.

Tuesday 15th – Classes from 09:00 to 17:00
Computational inference

Many of the topics that will be covered involve the use of matrix algebra 
and calculus. While these mathematical techniques are essential tools for a 
mathematical statistician who is trying to understand the theory behind the 
methods, they can be avoided in practice by using simulation based 
techniques. The built-in functions such as the ’lm’ and ’glm’ to t the 
regression models use the method of maximum likelihood to estimate the 
parameters and conduct statistical inference. We will discuss the use of 
JAGS (Just Another Gibbs Sampler) and the R package ’dclone’ to t the 
same 
models. We will use a dierent statistical philosophy, namely the 
Bayesian 
inference, to t these models. We will show how the Bayesian approach 
can 
be tricked into giving frequentist answers using data cloning (Lele et al. 
2007, Ecology Letters). We will also discuss the rudiments of frequentist 
and Bayesian inference although we will not go into the pros and cons of 
them at this time. That will be covered during sessions 3 and 4 of the 
#64257;fth 
day (and, over beer afterwards).
1. What makes an inference statistical inference?
2. What do we mean by probability of an event?
3. How do we quantify uncertainty in an inferential statement in the 
frequentist framework?
4. How do we quantify uncertainty in an inferential statement in the 
Bayesian framework?
We will then discuss the simulation based methods to quantify uncertainty.
1. Parametric bootstrap to quantify frequentist uncertainty
2. Markov Chain Monte Carlo to quantify Bayesian uncertainty
3. Fitting LM and GLM using JAGS and Bayesian approach

Wednesday 16th – Classes from 09:00 to 17:00
Linear Mixed Models

Historically, linear mixed models arose in the study of quantitative 
genetics and heritability issues. They were successfully applied in animal 
breeding and led to the ’white’ revolution with abundance of milk supply 
for the developing world. They were, also, used in horse racing and other 
such fun areas. The other situation where linear mixed eects models 
were 
developed were in the context of growth curves. We will follow this 
historical trajectory of mixed models, paying tribute to the great 
statisticians R. A. Fisher, C. R. Rao and Jerzy Neyman, and study linear 
mixed models rst. The 

[ECOLOG-L] Course on analysing behavioural data!

[Oliver Hooker]

Behavioural data analysis using maximum likelihood in R (BDML01)

https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/

19th March 2018 - 23rd March 2018

SCENE, Loch Lomond, Rowardennan, , Glasgow, Scotland, G63 0AW, United 
Kingdom 

Course Overview:
This 5-day course will involve a combination of lectures and practical 
sessions. Students will learn to build and fit custom models for analysing 
behavioural data using maximum likelihood techniques in R. This flexible 
approach allows a researcher to a) use a statistical model that directly 
represents their hypothesis, in cases where standard models are not 
appropriate and b) better understand how standard statistical models (e.g. 
GLMs) are fitted, many of which are fitted by maximum likelihood. Students 
will learn how to deal with binary, count and continuous data, including 
time-to-event data which is commonly encountered in behavioural analysis.
After successfully completing this course students should be able to:
1) fit a multi-parameter maximum likelihood model in R
2) derive likelihood functions for binary, count and continuous data
3) deal with time-to-event data
4) build custom models to test specific behavioural hypotheses
5) conduct hypothesis tests and construct confidence intervals
6) use Akaike’s information criterion (AIC) and model averaging
7) understand how maximum likelihood relates to Bayesian techniques

Monday 19th
Module 1: The process of statistical inference and the role of statistical 
models. Why learn likelihood techniques? Course outline
Module 2: Maximum likelihood estimation: single parameter models for binary 
data

Tuesday 20th
Module 3: Models with several parameters for binary data, optimization 
algorithms
Module 4: Testing hypotheses and constructing confidence intervals

Wednesday 21st
Module 5: Modelling count data and the Poisson distribution
Module 6: Modelling continuous data, the normal distribution and the 
relationship of maximum likelihood to least squares

Thursday 22nd
Module 7: Modelling time to event data and the exponential distribution
Module 8: Akaike’s information criterion (AIC) and model averaging

Friday 12th
Module 9: A brief introduction to Bayesian analysis, the practical 
advantages, and its relationship to maximum likelihood
Afternoon: Trouble shooting and final summary

Please send enquiries to oliverhoo...@psstatistics.com or visit 
www.psstatistcs.com for more details.

Other courses include

1.  November 6th – 10th 2017
LANDSCAPE GENETIC DATA ANALYSIS USING R #LNDG
Margam Discovery Centre, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg02/

2.  November 20th - 25th 2017
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
SCENE, Scotland, Dr. Matt Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme03/

3.  November 27th – December 1st 2017
INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
Margam Discovery Centre, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb04/


--
4.  December 4th - 8th 2017
ADVANCING IN STATISTICAL MODELLING USING R #ADVR
Margam Discovery Centre, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane 
Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr07/


--
5.  January 29t – February 2nd 2018
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

6.  January 29th – February 2nd 2018
PHYLOGENETIC DATA ANALYSIS USING R #PHYL
SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/


--

7.  February 19th – 23rd 2018
MOVEMENT ECOLOGY #MOVE
Margam Discovery Centre, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

8.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R #GMMR
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

[ECOLOG-L] Course on Bayesian Hierarchical/Mixed Models

[Oliver Hooker]

/


--
9.  March 5th – 9th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER
Margam Discovery Centre, Wales, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

10. March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN #MRXN
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

11. March 12th - 16th 2018
ECOLOGICAL NICHE MODELLING USING R #ENMR
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

12. March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/


--

13. April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

14. April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

15. April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
#VGNR
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

16. April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
#QGER
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
COMING SOON  www.PRstatistics.com


--

17.  May 7th – 11th 2018 
ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet

18. May 14th - 18th 2018
INTRODUCTION TO MIXED MODELS FOR BIOLOGISTS #IMBR
CANADA (QUEBEC), Prof Subhash Lele

19. May 21st - 25th  2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

20. May 28th – 1st June 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 


--

21. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

22. July 8th – 12th 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

23. July 16th – 20th 2018
TRANSCRIPTOME ANALYSIS, VISUALIZATION AND INTERPRETATION #TAVI
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
COMING SOON www.prinformatics.com

24. July 23rd – 27th 2018
EUKARYOTIC METABARCODING
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/


--

-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] CANADA course on Stable Isotope Data Analysis Stable Isotope Mixing Models using SIAR, MixSIAR and SIBER - Andrew Jackson Andrew Parnell

[Oliver Hooker]

/


--
9.  March 5th – 9th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER
Margam Discovery Centre, Wales, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

10. March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN #MRXN
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

11. 12th - 16th March 2018
ECOLOGICAL NICHE MODELLING USING R #ENMR
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

12. March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
Glasgow, Scotland, Dr William Hoppitt
http://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-
likelihood-bdml01/


--

13. April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

14. April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-
psychologists-ipsy01/

15. April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
#VGNR
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

16. April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
#QGER
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
COMING SOON  www.PRstatistics.com


--

17. 7th – 11th May 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R #MVSP
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet

18. 14th - 18th May 2018
INTRODUCTION TO MIXED MODELS FOR BIOLOGISTS #IMBR
CANADA (QUEBEC), Prof Subhash Lele

19. 21st - 25th May 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

20. 28th May – 1st June 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 


--

21. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
Glasgow, Scotland, Prof James Curley
http://www.psstatistics.com/course/social-network-analysis-for-behavioral-
scientists-snar01/

22. 8th – 12th July 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

23. 16th – 20th July 2018
TRANSCRIPTOME ANALYSIS, VISUALIZATION AND INTERPRETATION #TAVI
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
COMING SOON www.prinformatics.com

24. 23rd – 27th July 2018
EUKARYOTIC METABARCODING
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Repeat course on ecological niche modelling

[Oliver Hooker]

 Delucchi
https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

20. 28th May – 1st June 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 


--

21. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
Glasgow, Scotland, Prof James Curley
COMING SOON  www.PSstatistics.com

22. 8th – 12th July 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

23. 16th – 20th July 2018
TRANSCRIPTOME ANALYSIS, VISUALIZATION AND INTERPRETATION #TAVI
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
COMING SOON www.prinformatics.com

24. 23rd – 27th July 2018
EUKARYOTIC METABARCODING
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/


-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Course on functional ecology / traits

[Oliver Hooker]

 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

8.  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R #GMMR
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


--
9.  March 5th – 9th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER
Margam Discovery Centre, Wales, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

10. March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN #MRXN
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

11. 12th - 16th March 2018
ECOLOGICAL NICHE MODELLING USING R #ENMR
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

12. March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
Glasgow, Scotland, Dr William Hoppitt
COMING SOON  www.PSstatistics.com


--

13. April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

14. April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
COMING SOON  www.PSstatistics.com

15. April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
#VGNR
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

16. April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
#QGER
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
COMING SOON  www.PRstatistics.com


--

17. 7th – 11th May 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R #MVSP
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet

18. 14th - 18th May 2018
INTRODUCTION TO MIXED MODELS FOR BIOLOGISTS #IMBR
CANADA (QUEBEC), Prof Subhash Lele

19. 21st - 25th May 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

20. 28th May – 1st June 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 


--

21. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
Glasgow, Scotland, Prof James Curley
COMING SOON  www.PSstatistics.com

22. 8th – 12th July 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

23. 16th – 20th July 2018
TRANSCRIPTOME ANALYSIS, VISUALIZATION AND INTERPRETATION #TAVI
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
COMING SOON www.prinformatics.com

24. 23rd – 27th July 2018
EUKARYOTIC METABARCODING
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/


-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Course on Phylogenetic data analysis

[Oliver Hooker]

  February 19th – 23rd 2018
GEOMETRIC MORPHOMETRICS USING R #GMMR
Margam Discovery Centre, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/


--
9.  March 5th – 9th 2018
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER
Margam Discovery Centre, Wales, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

10. March 5th - 9th 2018
SPATIAL PRIORITIZATION USING MARXAN #MRXN
Margam Discovery Centre, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

11. 12th - 16th March 2018
ECOLOGICAL NICHE MODELLING USING R #ENMR
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

12. March 19th – 23rd 2018
BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
Glasgow, Scotland, Dr William Hoppitt
COMING SOON  www.PSstatistics.com


--

13. April 9th – 13th 2018 
NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Glasgow, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

14. April 16th – 20th 2018
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
COMING SOON  www.PSstatistics.com

15. April 23rd – 27th 2018
MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN PACKAGE 
#VGNR
Glasgow, Scotland, Dr. Peter Solymos, Dr. Guillaume Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

16. April 30th – 4th May 2018
QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND COMMUNITIES 
#QGER
Glasgow, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
COMING SOON  www.PRstatistics.com


--

17. 7th – 11th May 2018 ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL 
ECOLOGICAL DATA USING R #MVSP
CANADA (QUEBEC), Prof. Pierre Legendre, Dr. Guillaume Blanchet

18. 14th - 18th May 2018
INTRODUCTION TO MIXED MODELS FOR BIOLOGISTS #IMBR
CANADA (QUEBEC), Prof Subhash Lele

19. 21st - 25th May 2018
INTRODUCTION TO REMOTE SENISNG AND GIS FOR ECOLOGICAL APPLICATIONS
Glasgow, Scotland, Prof. Duccio Rocchini, Dr. Luca Delucchi
https://www.prinformatics.com/course/introduction-to-remote-sensing-and-gis-
for-ecological-applications-irms01/

20. 28th May – 1st June 2018
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
CANADA (QUEBEC) Dr. Andrew Parnell, Dr. Andrew Jackson 


--

21. July 2nd - 5th 2018
SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
Glasgow, Scotland, Prof James Curley
COMING SOON  www.PSstatistics.com

22. 8th – 12th July 2018
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
Glasgow, Scotland, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

23. 16th – 20th July 2018
TRANSCRIPTOME ANALYSIS, VISUALIZATION AND INTERPRETATION #TAVI
Glasgow, Scotland, Dr Malachi Griffith, Dr. Obi Griffith
COMING SOON www.prinformatics.com

24. 23rd – 27th July 2018
EUKARYOTIC METABARCODING
Glasgow, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/


-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Part funded Scholarships for Course - Applied Bayesian Modelling For Ecologists Nov 20-25

[Oliver Hooker]

ON) GENETIC DATA ANALYSIS USING R #LNDG
6th – 10th November 2017, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg02/

6.  APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
20th - 25th November 2017, SCENE, Scotland, Dr. Matt Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme03/

7.  INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
27th Nov – 1st Dec, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb04/

8.  ADVANCING IN STATISTICAL MODELLING USING R #ADVR
4th - 8th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane 
Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr07/

9.  INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb 2018, SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

10. PHYLOGENETIC DATA ANALYSIS USING R #PHYL
28th Jan – Feb 2nd 2018, SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/

11. MOVEMENT ECOLOGY #MOVE
19th – 23rd February 2018, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

12. GEOMETRIC MORPHOMETRICS USING R #GMMR
19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

13. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER
5th – 9th March 2018, SCENE, Scotland, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

14. SPATIAL PRIORITIZATION USING MARXAN #MRXN
5th - 9th March 2018, Wales, Jennifer McGowan
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

15. ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

16. BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
19th – 23rd March 2018, Scotland, Dr William Hoppitt
COMING SOON  www.PSstatistics.com

17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

18. INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R 
#IPSY
16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre
COMING SOON  www.PSstatistics.com

19. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER
30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick
COMING SOON  www.PRstatistics.com

21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
Lele, Dr. Guillaume Blanchet

22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
Parnell, Dr. Andrew Jackson

23. SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
2nd - 5th12th July 2018, Prof James Curley
COMING SOON  www.PSstatistics.com

24. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

25. EUKARYOTIC METABARCODING
23rd – 27th July 2018, Wales, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

26. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed

-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] UK.AdvancingInStatisticalModellingForEvolutionaryBiologistsAndEcologistsUsingR.Dec4-8

[Oliver Hooker]

berger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

14. SPATIAL PRIORITIZATION USING MARXAN #MRXN
5th - 9th March 2018, Wales, Jennifer McGowan
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

15. ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

16. BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
19th – 23rd March 2018, Scotland, Dr William Hoppitt
COMING SOON  www.PSstatistics.com

17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

18. INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R 
#IPSY
16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre
COMING SOON  www.PSstatistics.com

19. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER
30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick
COMING SOON  www.PRstatistics.com

21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
Lele, Dr. Guillaume Blanchet

22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
Parnell, Dr. Andrew Jackson

23. SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
2nd - 5th12th July 2018, Prof James Curley
COMING SOON  www.PSstatistics.com

24. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

25. EUKARYOTIC METABARCODING
23rd – 27th July 2018, Wales, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

26. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date
-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] UK.FINALCALL.AppliedBayesianModellingForEcologistsAndEpidemiologists.Nov20-25

[Oliver Hooker]

NALYSIS USING R #PHYL
28th Jan – Feb 2nd 2018, SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/

11. MOVEMENT ECOLOGY #MOVE
19th – 23rd February 2018, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

12. GEOMETRIC MORPHOMETRICS USING R #GMMR
19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

13. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER
5th – 9th March 2018, SCENE, Scotland, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

14. SPATIAL PRIORITIZATION USING MARXAN #MRXN
5th - 9th March 2018, Wales, Jennifer McGowan
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

15. ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

16. BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
19th – 23rd March 2018, Scotland, Dr William Hoppitt
COMING SOON  www.PSstatistics.com

17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

18. INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R 
#IPSY
16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre
COMING SOON  www.PSstatistics.com

19. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER
30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick
COMING SOON  www.PRstatistics.com

21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
Lele, Dr. Guillaume Blanchet

22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
Parnell, Dr. Andrew Jackson

23. SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
2nd - 5th12th July 2018, Prof James Curley
COMING SOON  www.PSstatistics.com

24. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

25. EUKARYOTIC METABARCODING
23rd – 27th July 2018, Wales, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

26. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date
-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] UK.FINALCALL.LandscapeGenomics/GeneticsUsingR.Nov6-10

[Oliver Hooker]

 SCENE, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

16. BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
19th – 23rd March 2018, Scotland, Dr William Hoppitt
COMING SOON  www.PSstatistics.com

17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

18. INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R 
#IPSY
16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre
COMING SOON  www.PSstatistics.com

19. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER
30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick
COMING SOON  www.PRstatistics.com

21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
Lele, Dr. Guillaume Blanchet

22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
Parnell, Dr. Andrew Jackson

23. SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
2nd - 5th12th July 2018, Prof James Curley
COMING SOON  www.PSstatistics.com

24. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

25. EUKARYOTIC METABARCODING
23rd – 27th July 2018, Wales, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

26. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date
-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] FINAL CALL - Structural Equation Modelling for Ecologists

[Oliver Hooker]

elling-using-r-ibhm02/

10. PHYLOGENETIC DATA ANALYSIS USING R #PHYL
28th Jan – Feb 2nd 2018, SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/

11. MOVEMENT ECOLOGY #MOVE
19th – 23rd February 2018, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

12. GEOMETRIC MORPHOMETRICS USING R #GMMR
19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

13. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER
5th – 9th March 2018, SCENE, Scotland, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

14. SPATIAL PRIORITIZATION USING MARXAN #MRXN
5th - 9th March 2018, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

15. ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

16. BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
19th – 23rd March 2018, Scotland, Dr William Hoppitt
COMING SOON  www.PSstatistics.com

17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

18. INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R 
#IPSY
16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
COMING SOON  www.PSstatistics.com

19. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER
30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick
COMING SOON  www.PRstatistics.com

21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
Lele, Dr. Guillaume Blanchet

22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
Parnell, Dr. Andrew Jackson 

23. SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
2nd - 5th12th July 2018, Prof James Curley
COMING SOON  www.PSstatistics.com

24. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

25. EUKARYOTIC METABARCODING
23rd – 27th July 2018, Wales, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

26. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed


-- 
Oliver Hooker PhD.

PR informatics

2017 publications
- Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution.
- The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prinformatics.com
twitter.com/PRinformatics
facebook.com/prstatistics/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] FINAL CALL - Reproducible data science for population genetics

[Oliver Hooker]

avar
https://www.prstatistics.com/course/reproducible-data-science-for-
population-genetics-rdpg01/

4.  STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS USING R #SEMR
23rd – 27th October 2017, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck
http://www.prstatistics.com/course/structural-equation-modelling-for-
ecologists-and-evolutionary-biologists-semr01/

5.  LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG
6th – 10th November 2017, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-
lndg02/

6.  APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
20th - 25th November 2017, SCENE, Scotland, Dr. Matt Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-
epidemiologists-abme03/

7.  INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
27th Nov – 1st Dec, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-
ipyb04/

8.  ADVANCING IN STATISTICAL MODELLING USING R #ADVR
4th - 8th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane 
Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr07/

9.  INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb 2018, SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

10. PHYLOGENETIC DATA ANALYSIS USING R #PHYL
28th Jan – Feb 2nd 2018, SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/

11. MOVEMENT ECOLOGY #MOVE
19th – 23rd February 2018, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts
https://www.prstatistics.com/course/movement-ecology-move01/

12. GEOMETRIC MORPHOMETRICS USING R #GMMR
19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

13. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER
5th – 9th March 2018, SCENE, Scotland, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

14. SPATIAL PRIORITIZATION USING MARXAN #MRXN
5th - 9th March 2018, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

15. ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

16. BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML
19th – 23rd March 2018, Scotland, Dr William Hoppitt
COMING SOON  www.PSstatistics.com

17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

18. INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R 
#IPSY
16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre   
COMING SOON  www.PSstatistics.com

19. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER
30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick
COMING SOON  www.PRstatistics.com

21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
Lele, Dr. Guillaume Blanchet

22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
Parnell, Dr. Andrew Jackson 

23. SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR
2nd - 5th12th July 2018, Prof James Curley
COMING SOON  www.PSstatistics.com

24. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

25. EUKARYOTIC METABARCODING
23rd – 27th July 2018, Wales, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

26. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed

Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The phy

[ECOLOG-L] Intro course 'Python for biologists'

[Oliver Hooker]

-phyg-phyl02/

 

11.    MOVEMENT ECOLOGY #MOVE

19th – 23rd February 2018, Wales, Dr Luca Borger, Dr Ronny Wilson, Dr 
Jonathan Potts

https://www.prstatistics.com/course/movement-ecology-move01/

 

12.    GEOMETRIC MORPHOMETRICS USING R #GMMR

19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou

http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

 

13.    FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER

5th – 9th March 2018, SCENE, Scotland, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona

http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

 

14.    SPATIAL PRIORITIZATION USING MARXAN #MRXN

5th - 9th March 2018, Wales, Jennifer McGowan   

https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

 

15.    ECOLOGICAL NICHE MODELLING USING R #ENMR

12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero

http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

 

16.    BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKLIHOOD IN R #BDML

19th – 23rd March 2018, Scotland, Dr William Hoppitt

COMING SOON  www.PSstatistics.com

 

17.    NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA

9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti   

https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

 

18.    INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R #IPSY

16th – 20th April 2018, SCENE, Scotland, Dr. Dale Barr, Dr Luc Bussierre   

COMING SOON  www.PSstatistics.com

 

19.    MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR

23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet 

https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

 

20.    QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER

30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick

COMING SOON  www.PRstatistics.com

 

21.    INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR

14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
Lele, Dr. Guillaume Blanchet

 

22.    STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM

28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
Parnell, Dr. Andrew Jackson 

 

23.    SOCIAL NETWORK ANALYSIS FOR BEHAVIOURAL SCIENTISTS USING R #SNAR

2nd - 5th12th July 2018, Prof James Curley

COMING SOON  www.PSstatistics.com

 

24.    MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV

8th – 12th July 2018, Prof David Warton

https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

 

25.    EUKARYOTIC METABARCODING

23rd – 27th July 2018, Wales, Dr. Owen Wangensteen

http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

 

26.    ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R 
#MVSP

Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed


-- 
Oliver Hooker PhD.

PR informatics

2017 publications
- Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution.
- The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prinformatics.com
twitter.com/PRinformatics
facebook.com/prstatistics/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Course on - 'Movement ecology' - Luca Borger, Rory Wilson, Jonathan Potts

[Oliver Hooker]

Tom Houslay, Dr. Ane 
Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-
advr07/

10. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP
11th – 15th December 2017, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/data-visualisation-and-manipulation-
using-python-dvmp01/

11. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb 2018, SCENE, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-
modelling-using-r-ibhm02/

12. PHYLOGENETIC DATA ANALYSIS USING R #PHYL
28th Jan – Feb 2nd 2018, SCENE, Scotland, Dr. Emmanuel Paradis
https://www.prstatistics.com/course/introduction-to-phylogenetic-analysis-
with-r-phyg-phyl02/

13. MOVEMENT ECOLOGY #MOVE
19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg
https://www.prstatistics.com/course/movement-ecology-move01/

14. GEOMETRIC MORPHOMETRICS USING R #GMMR
19th – 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael Collyer, 
Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

15. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER
5th – 9th March 2018, SCENE, Scotland, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

16. SPATIAL PRIORITIZATION USING MARXAN #MRXN
5th - 9th March 2018, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

17. ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, SCENE, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

18. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, SCENE, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

19. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, SCENE, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

20. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES #QGER
30th April – 4th May 2018, SCENE, Scotland, Dr. Dan Warren, Dr. Matt 
Fitzpatrick

21. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
14th - 18th May 2018, CANADA (QUEBEC) STILL to be confirmed, Prof Subhash 
Lele, Dr. Guillaume Blanchet

22. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
28th May – 1st June 2018, CANADA (QUEBEC) STILL to be confirmed Dr. Andrew 
Parnell, Dr. Andrew Jackson 

23. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

24. EUKARYOTIC METABARCODING
23rd – 27th July 2018, Wales, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

25. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed

Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Course on how to use MARXAN

[Oliver Hooker]

 TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER
5th – 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

12. SPATIAL PRIORITIZATION USING MARXAN 
5th - 9th March 2018, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

13. ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

14. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

15. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

16. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES
30th April – 4th May 2018, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
  
17. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
28th May – 1st June 2018, Canada, Prof Subhash Lele, Dr. Guillaume Blanchet
   
18. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

19. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed

20. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed

21. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
Prof. Subhash Lele, Dr. Peter Solymos - Date and location to be confirmed

22. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
Dr. Andrew Parnell - Date and location to be confirmed

23. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #METR
Prof. Jason Matthiopoulos – Date and location to be confirmed

24. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR
Prof. Julia Koricheva, Prof. Elena Kulinskaya – Date and location to be c

-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340

[ECOLOG-L] Course on how to use the R package VEGAN

[Oliver Hooker]

. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER
5th – 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars 
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-
ecosystem-theory-and-computation-feer01/

12. SPATIAL PRIORITIZATION USING MARXAN 
5th - 9th March 2018, Wales, Jennifer McGowan   
https://www.prstatistics.com/course/introduction-to-marxan-mrxn01/

13. ECOLOGICAL NICHE MODELLING USING R #ENMR
12th - 16th March 2018, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-
enmr02/

14. MULTIVARIATE ANALYSIS OF ECOLOGICAL COMMUNITIES USING THE VEGAN 
PACKAGE #VGNR
23rd – 27th April 2018, Scotland, Dr. Peter Solymos, Dr. Guillaume 
Blanchet 
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-
communities-in-r-with-the-vegan-package-vgnr01/

15. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
9th – 13th April 2018, Scotland, Dr. Marco Scotti   
https://www.prstatistics.com/course/network-analysis-ecologists-ntwa02/

16. QUANTITATIVE GEOGRAPHIC ECOLOGY: MODELING GENOMES, NICHES, AND 
COMMUNITIES
30th April – 4th May 2018, Scotland, Dr. Dan Warren, Dr. Matt Fitzpatrick
  
17. INTRODUCTION TO MIXED MODELS FOR ECOLOGISTS #IMMR
28th May – 1st June 2018, Canada, Prof Subhash Lele, Dr. Guillaume Blanchet
   
18. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0
8th – 12th July 2018, Prof David Warton
https://www.prstatistics.com/course/model-base-multivariate-analysis-of-
abundance-data-using-r-mbmv02/

19. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING 
R #MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed

20. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed

21. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
Prof. Subhash Lele, Dr. Peter Solymos - Date and location to be confirmed

22. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
Dr. Andrew Parnell - Date and location to be confirmed

23. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #METR
Prof. Jason Matthiopoulos – Date and location to be confirmed

24. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR
Prof. Julia Koricheva, Prof. Elena Kulinskaya – Date and location to be c

-- 
Oliver Hooker PhD.
PR statistics

2017 publications - 

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

6 Hope Park Crescent
Edinburgh
EH8 9NA

+44 (0) 7966500340